Short-cut to 1986, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, technical reports (and some media stuff).

[Ray Solomonoff (1926-2009) 85th memorial conference (Wedn 30 Nov - Fri 2 Dec 2011), 3rd Call for Papers, 2nd Call for Papers, 1st Call for Papers.]

In Chris Wallace (1933-2004)'s posthumous ``Statistical and Inductive Inference by Minimum Message Length'' (2005),

(1) Dowe, D.L. (1986) Are Maxwell's equations logically consistent?, American Mathematical Monthly, Vol. 93, No. 8 (October 1986), p627.

% Keywords: logic, consistent, mathematical logic, logically consistent, consistency, logical consistency, physics, physical laws, physical theory, physical theories, systems, physical systems, Maxwell, equations, Maxwell's equations, contradiction.

(2) Dowe, D.L. (1989a) On the existence of sequences of co-prime pairs of integers. Journal of the Australian Mathematical Society (Series A), Vol

(3) Dowe, D.L. (1989b) The Victorian Equity Trust - Asset or Liability. Discussion Paper D135, Centre of Policy Studies, Monash University (January 1989).

(4) Dowe, D.L. (1990a) A theoretic market price for the VEDC (Victorian Economic Development Corporation) Purchase Obligation on VET (Victorian Equity Trust) shares", Swinburne Faculty of Business Staff Paper, 1990.

(5) Dowe, D.L. (1990b) Interest rates, their changes and the Australian All Ordinaries Index - an empirical result (with some theoretical justification), Swinburne Faculty of Business Staff Papers, Serial No. 64.

(6) Dowe, D.L. (1990c) VP-Expert Course Guide. Swinburne, Melbourne, Australia. 50pp.

(7) Dowe, D.L. and S.B. Landy (1990). The Derivatives of x to the Power x at x = 1. Gazette of the Australian Mathematical Society, Vol

(8) Dowe, D.L. (1990d) Can Black force a win? Journal of the International Computer Chess Association, Vol

(9) Dowe, D.L. (1990e) Chess - Can Black force a win? Gazette of the Australian Mathematical Society, Vol

(10) Dowe, D.L. (1991) Some aspects of program verification and program inversion. Ph.D. thesis (1991).

[The papers below are requestable in printed hard copy from either [more reliable] writing a letter to my ``snail mail'' postal address {see my home page, http://www.csse.monash.edu.au/~dld} or [perhaps less reliable] e-mail to enquiries At cs.monash.edu.au (if you send your name and postal address and make it clear what you want).]

(11) Dowe, D.L., J.J. Oliver, L. Allison, T.I. Dix and C.S. Wallace (1992). Learning rules for protein secondary structure prediction. Dept. Res. Conf., Dept of Computer Science, University of Western Australia, pp1-12.

(12) Oliver, J.J., D.L. Dowe and C.S. Wallace (1992). Inferring decision graphs using the Minimum Message Length principle. Proc. 5th Australian Joint Conference on Artificial Intelligence, Hobart, pp361-367, November 1992. [p361, p362, p363, p364, p365, p366, p367] (50% acceptance rate)

As its title suggests, this paper concerns the inference of decision graphs using MML.

(13) Dowe, D.L., J.J. Oliver, T.I. Dix, L. Allison and C.S. Wallace (1993). A decision graph explanation of protein secondary structure prediction. Proc. 26th Hawaii International Conference on System Sciences, Maui, Hawaii (January 1993), Vol I, pp669-678. (prestigious conference with 6 reviewers, unknown acceptance rate) http://www.csse.monash.edu.au/~dld/Publications/1993/Dowe+Oliver+Dix+Allison+Wallace1993.ref http://www.csse.monash.edu.au/~lloyd/tildeStrings/Protein/93.HICSS_26/93.HICSS_26.html

(14) Papp, E'., D.L. Dowe and S.J.D. Cox (1993). Spectral classification of radiometric data using an information theory approach. Proc. Advanced Remote Sensing Conference ('Coming of Age - 21 Years after Landsat'), UNSW, Sydney, pp223-232, 19-23 July 1993. [p223, p224, p225, p226, p227, p228, p229, p230, p231, p232]

% Snob application paper (applying MML finite mixture modelling program, Snob).

(15) Dowe, D.L. and N. Krusel (1993). A decision tree model of bush-fire activity. In C. Rowles et al. (ed.), Proc. 6th Australian Joint Conf. on Artificial Intelligence, Melbourne, Australia, November 1993, World Scientific, Singapore, pp287-292. (50% acceptance rate)

(16) Krusel, N. and D.L. Dowe (1993). Predicting bushfire activity in the mallee region of north west Victoria using a decision tree model. Proc. Institute of Australian Geographers (IAG) Conf., Monash University, Melbourne, Australia.

[ (16 1/2) C S Wallace and D L Dowe (1993): MML estimation of the von Mises concentration parameter, (Technical report 93/193) Dept Computer Science, Monash University, Clayton, Vic. 3168, Melbourne, Australia, 21pp, 1993. Abstract available. http://www.csse.monash.edu.au/publications/1993/tr-cs93-193-abs.ps.gz

http://www.csse.monash.edu.au/~dld/Publications/1993/Wallace+Dowe1993_MonashCS_ TR93.193.ref ]

(17) Zakis, J.D., I. Cosic and D.L. Dowe (1994). Classification of protein spectra derived for the Resonant Recognition model using the Minimum Message Length principle. Proc.17th Australian Computer Science Conference (ACSC-17), Christchurch, NZ, pp209-216, Jan 1994. [p209, p210, p211, p212, p213, p214, p215, p216]

% Snob application paper (applying MML finite mixture modelling program, Snob).

(18) Baxter, R.A. and D.L. Dowe (1994). Model selection in linear regression using the MML criterion, in J.A. Storer and M. Cohn (ed.) Proc. 4th IEEE data compression conf. Snowbird, Utah, IEEE Computer Society Press, Los Alamitos, CA, p498.

(19) Wallace, C.S. and D.L. Dowe (1994a). Estimation of the von Mises concentration parameter using Minimum Message Length. Proc. 12th Australian Statistical Society conf. (Abstract), Monash University, Melbourne, Australia.

(20) Dowe, D.L. and N. Krusel (1994). Decision Tree models of Bushfire Activity. AI Applications, Vol

(21) Wallace, C.S. and D.L. Dowe (1994), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE, Armidale, Australia, November 1994, pp37-44.

http://www.csse.monash.edu.au/~dld/Publications/1994/Wallace+Dowe1994.ref http://www.csse.monash.edu.au/~dld/Publications/1994/Wallace+Dowe1994_IntrinsicClassification_MML_AI94.Snob.pdf http://www.csse.monash.edu.au/~dld/Publications/1994/Wallace+Dowe1994_IntrinsicClassification_MML_AI94.Snob.ps (50% acceptance rate)

% Snob, MML clustering, MML mixture models, MML finite mixture models, MML mixture modelling, MML finite mixture modelling, MML mixture modeling, MML finite mixture modeling, minimum message length clustering, minimum message length mixture models, minimum message length finite mixture models, minimum message length mixture modelling, minimum message length finite mixture modelling, minimum message length mixture modeling, minimum message length finite mixture modeling, Snob theory papers.

(22) Dowe, D.L. (1995). Classes of functions with integer derivatives at x=1. Proc. 21st Australasian Conf. on Combinatorial Mathematics and Combinatorial Computing (21ACCMCC), Deakin University, Geelong, Victoria, Australia, July 1995, pp11-12.

(23) Dowe, D.L., J.J. Oliver, R.A. Baxter and C.S. Wallace (1995). Bayesian Estimation of the von Mises concentration parameter. Proc. 15th International Workshop on Maximum Entropy and Bayesian Methods (MaxEnt '95), K. Hanson and R. Silver (eds.), Kluwer publ., Santa Fe, NM, U.S.A., July-August 1995.

(24) Oliver, J.J. and D.L. Dowe (1995). "Using Unsupervised Learning to Assist Supervised Learning. Proc. 8th Australian Joint Conference on Artificial Intelligence, Australian Defence Force Academy (ADFA), University of NSW, Canberra, Australia, November 1995, pp275-282.

(25) Dowe, D.L. and K.L. Lentin (1995). Information-theoretic footy-tipping competition - Monash. Computer Science Association Newsletter (Australia), pp55-57. [p55, p56, p57]

(26) Dowe, D.L., L. Allison, T.I. Dix, L. Hunter, C.S. Wallace and T. Edgoose (1996). "Circular clustering of protein dihedral angles by Minimum Message Length" (and here), Proc. 1st Pacific Symposium on Biocomputing (PSB-1), Hawaii, U.S.A., January 1996, pp242-255. http://www.csse.monash.edu.au/~dld/Publications/1996/Dowe+Allison+Dix+Hunter+Wallace+Edgoose1996.ref

% Snob application paper (applying MML finite mixture modelling program, Snob).

(27) Kissane D.W., S. Bloch, D.L. Dowe, R.D. Snyder, P. Onghena, D.P. McKenzie and C.S. Wallace (1996a). The Melbourne Family Grief Study, I: Perceptions of family functioning in bereavement. American Journal of Psychiatry,

% Snob application paper (applying MML finite mixture modelling program, Snob).

(28) Kissane D.W., S. Bloch, P. Onghena, D.P. McKenzie, R.D. Snyder, D.L. Dowe (1996b). The Melbourne Family Grief Study, II: Psychosocial morbidity and grief in bereaved families. American Journal of Psychiatry,

% Snob application paper (applying MML finite mixture modelling program, Snob).

(29) Baxter, R.A., D.L. Dowe and J.J. Oliver (1996). Bayesian Point Estimation via the Kullback-Leibler Distance. Proc. Kullback Memorial Conference, Washington, D.C., May 1996.

(30) Dowe, D.L., R.A. Baxter, J.J. Oliver and C.S. Wallace (1996). Point Estimation using the Kullback-Leibler Loss Function and MML. Proc. Kullback Memorial Conference, Washington, D.C., May 1996. (See below, pp87-95, 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98), Lecture Notes in Artificial Intelligence (LNAI)

(31) Dowe, D.L., K.L. Lentin, J.J. Oliver and A.J. Hurst (1996). An information-theoretic and a Gaussian footy-tipping competition. FCIT Faculty Newsletter, June 1996, Monash University, Australia, pp2-6. [p2, p3, p4, p5, p6] [This paper and several of the papers (below) from 1996 and 1997 introduce(s) log-loss probabilistic scoring for the Gaussian distribution, following on the Dowe & Krusel (1993) paper generalising the log-loss multinomial (multi-state) scoring system beyond two classes.]

(32) Wallace, C.S. and D.L. Dowe (1996). MML Mixture Modelling of Multi-State, Poisson, von Mises Circular and Gaussian Distributions. Proc. Sydney International Statistical Congress (SISC-96), Sydney, Australia, p197, 8-12 July 1996. Also Institute of Mathematical Sciences (IMS) Bulletin, Vol. 25 (No. 4), July/August 1996, p410.

% Snob, MML clustering, MML mixture models, MML finite mixture models, MML mixture modelling, MML finite mixture modelling, MML mixture modeling, MML finite mixture modeling, minimum message length clustering, minimum message length mixture models, minimum message length finite mixture models, minimum message length mixture modelling, minimum message length finite mixture modelling, minimum message length mixture modeling, minimum message length finite mixture modeling, Snob theory papers.

(33) Dowe, D.L. and C.S. Wallace (1996). Resolving the Neyman-Scott Problem by Minimum Message Length. Proc. Sydney International Statistical Congress (SISC-96), Sydney, Australia, pp197-198, 8-12 July 1996. Also Institute of Mathematical Sciences (IMS) Bulletin, Vol. 25 (No. 4), July/August 1996, pp410-411.

(34) Oliver, J.J. and D.L. Dowe (1996). Minimum Message Length Mixture Modelling of Spherical von Mises-Fisher Distributions. Proc. Sydney International Statistical Congress (SISC-96), Sydney, Australia, p198, 8-12 July 1996. Also Institute of Mathematical Sciences (IMS) Bulletin, Vol. 25 (No. 4), July/August 1996, p411.

(35) Dowe, D.L., K.B. Korb and J.J. Oliver, editors (1996). Proc. ISIS (Information, Statistics and Induction in Science) Conf., World Scientific, ISBN 981-02-2824-4, Melbourne, Australia, August 1996.

(36) Dowe, D.L. and K.B. Korb (1996). Conceptual difficulties with the efficient market hypothesis: Towards a naturalized economics. Proc. ISIS (Information, Statistics and Induction in Science) Conf., D.L. Dowe et al. (ed.), pp212-223, World Scientific, Melbourne, Australia, August 1996. [p212, p213, p214, p215, p216, p217, p218, p219, p220, p221, p222, p223] (58% acceptance rate)

(37) Dowe, D.L., A.J. Hurst, K.L. Lentin, G. Farr, J.J. Oliver (1996). Probabilistic and Gaussian football prediction competitions - Monash. Computer Science Association (Australia) Newsletter, pp16-18, July 1996 and Artificial Intelligence in Australia Research Report, pp22-23.

(38) Dowe, D.L., J.J. Oliver and C.S. Wallace (1996). MML estimation of the parameters of the spherical Fisher Distribution. In S. Arikawa and A. K. Sharma (eds.), Proc. 7th International Workshop on Algorithmic Learning Theory (ALT'96), Lecture Notes in Artificial Intelligence (LNAI)

(39) D L Dowe, "On minimum increment re-writes", to appear, Proc. Mad Scientists' Conference. (expired link) http://www.ftech.net:80/~madsite/CandidatePapers/p018.html

(40) Dowe, D.L., G.E. Farr, A.J. Hurst and K.L. Lentin (1996). Information-theoretic football tipping, in N de Mestre (ed.), Third Australian Conference on Mathematics and Computers in Sport, Bond University, Qld, 233-241, 1996.

(41) R A Baxter and D L Dowe: Model selection in linear regression using the MML criterion, (Technical report 96/276) Dept Computer Science, Monash University, Melbourne, 13pp.

(42) C S Wallace and D L Dowe (1997), "MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions", Proc. 6th International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, Florida, U.S.A., 4-7 Jan. 1997, pp529-536. http://www.csse.monash.edu.au/~dld/Publications/1997/WallaceDoweAIStats1997_Snob_mix.ps (was http://www.csse.monash.edu.au/~dld/AIStats97_Snob_mix.ps) http://www.csse.monash.edu.au/~dld/Publications/1997/WallaceDoweAIStats1997_Snob_mix.pdf [see also ``Snob''].

% Snob, MML clustering, MML mixture models, MML finite mixture models, MML mixture modelling, MML finite mixture modelling, MML mixture modeling, MML finite mixture modeling, minimum message length clustering, minimum message length mixture models, minimum message length finite mixture models, minimum message length mixture modelling, minimum message length finite mixture modelling, minimum message length mixture modeling, minimum message length finite mixture modeling, Snob theory papers.

(43) Wallace, C.S. and D.L. Dowe (1997). MML Mixture Modelling of Multi-State, Poisson, von Mises Circular and Gaussian Distributions. Computing Science and Statistics (Vol. 28), Proc. 28th Symposium on the interface (ISBN 1-886658-02-1), Sydney, Australia, pp608-613, 1997. [p608, p609, p610, p611, p612, p613]

% Snob, MML clustering, MML mixture models, MML finite mixture models, MML mixture modelling, MML finite mixture modelling, MML mixture modeling, MML finite mixture modeling, minimum message length clustering, minimum message length mixture models, minimum message length finite mixture models, minimum message length mixture modelling, minimum message length finite mixture modelling, minimum message length mixture modeling, minimum message length finite mixture modeling, Snob theory papers.

(44) Dowe, D.L. and C.S. Wallace (1997). Resolving the Neyman-Scott Problem by Minimum Message Length. Computing Science and Statistics (Vol. 28), Proc. 28th Symposium on the interface, Sydney, Australia, pp614-618, 1997. [p614, p615, p616, p617, p618.]

% MML Neyman-Scott, Minimum Message Length Neyman-Scott

(45) Dowe, D.L. (1997). "The contribution of variance to utility functions", pp1-5, 1997 Australasian Meeting of the Econometric Society (ESAM'97), Volume 3 (Macroeconometrics and Finance), Melbourne, 2-4 July '97. [p1, p2, p3, p4, p5]

(46) D L Dowe, "Inference and Prediction via MML, Bayesianism and Kolmogorov Complexity", accepted, to appear, 5th World Meeting, International Soc. for Bayesian Analysis (ISBA97), Istanbul, Turkey, August 1997.

(47) D L Dowe and A R Hajek (1997). A computational extension to the Turing Test, Proceedings of the 4th Conference of the Australasian Cognitive Science Society, Newcastle, NSW, Australia (in press), September 1997.

[This paper and Dowe and Hajek (1997b) and (sec. 2 [and its title] and sec. 4 of) Dowe and Hajek (1998) and (sec. 5.2 of) Sanghi and Dowe (2003) point out that MML, Kolmogorov complexity and two-part compression can be used to measure the inductive learning (or inductive inference) part of intelligence. For me, it all began perhaps a little before the time I gave a talk entitled ``MML and the Turing test'' on 27/Feb/1996 - see, e.g., [footnote 179 {or here} (on p543) of] Dowe (2008a). See also Hernandez-Orallo and Dowe (2010).]

(48) T Edgoose, L Allison and D L Dowe (1998). An MML Classification of Protein Structure that knows about Angles and Sequences, pp585-596, Proc. 3rd Pacific Symposium on Biocomputing (PSB-98), Hawaii, U.S.A., January 1998. www.csse.monash.edu.au/~dld/Publications/1998/Edgoose+Allison+Dowe1998.ref http://www.csse.monash.edu.au/~dld/PSB99/tute-papers/psb98-edgoose.ps (or http://www.csse.monash.edu.au/~dld/PSB99/tute-papers/psb98-edgoose.ps) http://www.csse.monash.edu.au/~dld/PSB99/tute-papers/psb98-edgoose.pdf (or http://helix-web.stanford.edu/psb98/edgoose.pdf)

(49) D R Powell, D L Dowe, L Allison and T I Dix (1998). Discovering simple DNA sequences by compression, pp597-608, Proc. 3rd Pacific Symposium on Biocomputing (PSB-98), Hawaii, U.S.A., January 1998. www.csse.monash.edu.au/~dld/Publications/1998/Powell+Dowe+Allison+Dix1998.ref http://www.csse.monash.edu.au/~dld/PSB99/tute-papers/psb98-powell.ps

(50) D L Dowe and K Prank (1998). Complexity and information-theoretic approaches to biology, conference stream introduction, pp559-560, Proc. 3rd Pacific Symposium on Biocomputing (PSB-98), Hawaii, U.S.A., January 1998. [p559, p560]

(51) D R Powell, L Allison, T I Dix and D L Dowe (1998). Alignment of Low Information Sequences, in X Lin (ed.), Proc. Computing: the Australian Theory Symposium (CATS '98), Perth, Australia, 2-3 February 1998, Springer-Verlag, Singapore, ISBN: 98103083-92-1, 20: 3: 215-229. www.csse.monash.edu.au/~dld/Publications/1998/Powell+Allison+Dix+Dowe1998.ref

(52) D L Dowe and A R Hajek (1998). ``A non-behavioural, computational extension to the Turing Test'', pp101-106, Proceedings of the International Conference on Computational Intelligence & Multimedia Applications (ICCIMA'98), Gippsland, Australia, February 1998. [p101, p102, p103, p104, p105, p106; .pdf of pp101-106; .ps of pp101-106]

[This paper (especially sec. 2 [and its title] and sec. 4) and Dowe and Hajek (1997b) and (sec. 5.2 of) Sanghi and Dowe (2003) point out that MML, Kolmogorov complexity and two-part compression can be used to measure the inductive learning (or inductive inference) part of intelligence. For me, it all began perhaps a little before the time I gave a talk entitled ``MML and the Turing test'' on 27/Feb/1996 - see, e.g., [footnote 179 {or here} (on p543) of] Dowe (2008a). See also Hernandez-Orallo and Dowe (2010).]

(53) D L Dowe, R A Baxter, J J Oliver and C S Wallace (1998). Point estimation using the Kullback-Leibler Loss Function and MML, pp87-95, 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98), Lecture Notes in Artificial Intelligence (LNAI)

(54) R T Edwards and D L Dowe (1998). "Single factor analysis in MML mixture modelling", pp96-109, 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98), Lecture Notes in Artificial Intelligence (LNAI)

% Single factor analysis and mixture modelling are combined using MML, and these are used to analyse Infrared Astronomical Satellite (IRAS) Low Resolution Spectrometer (LRS) spectral data.

(55) D L Dowe, L Allison and G Pringle (1998). The hunter and the hunted - modelling the relationship between Web pages and search engines, pp380-382, 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98), Lecture Notes in Artificial Intelligence (LNAI)

(56) G Pringle, L Allison and D L Dowe (1998). What is a tall poppy among Web pages?, in H Ashman and P Thistlewaite (eds.), Computer Networks and ISDN Systems (Journal): Proceedings of the 7th International World Wide Web Conference, Brisbane, Australia, 14-18 April 1998, Elsevier Science BV, Netherlands, ISBN: 0169-7552-98, Vol. 30: 1-7: pp369-377. http://www7.scu.edu.au/programme/fullpapers/1872/com1872.htm www.csse.monash.edu.au/~dld/Publications/1998/Pringle+Allison+Dowe1998.ref

(57) D L Dowe, M Doran, G E Farr, A J Hurst, D Powell and T Seemann (1998). Kullback-Leibler distance, probability and football prediction, abstract, page 80, 14th Australian Statistical Conference (ASC-14), Broadbeach, Gold Coast, Qld, Australia, 6 - 10 July 1998.

(58) D L Dowe (panel chair), M. A. Jorgensen, G. J. McLachlan and C S Wallace (1998). Information-theoretic estimation, panel abstract, page 125, 14th Australian Statistical Conference (ASC-14), Broadbeach, Gold Coast, Qld, Australia, 6 - 10 July 1998.

(59) D L Dowe and C S Wallace (1998). Kolmogorov complexity, minimum message length and inverse learning, abstract, page 144, 14th Australian Statistical Conference (ASC-14), Broadbeach, Gold Coast, Qld, Australia, 6 - 10 July 1998.

(60) M. Prior, R. Eisenmajer, S. Leekam, L. Wing, J. Gould, B. Ong and D. L. Dowe (1998). Are there subgroups within the autistic spectrum? A cluster analysis of a group of children with autistic spectrum disorders. J. Child Psychol. Psychiat. Vol. 39, No. 6, pp893-902. [p893, p894, p895, p896, p897, p898, p899, p900, p901, p902]

% Snob application paper (applying MML finite mixture modelling program, Snob).

(61) D. L. Dowe and K. Prank (1998). Information-theoretic approaches to biology, conference stream introduction, pp252-253, Proc. 4th Pacific Symposium on Biocomputing (PSB-99), Hawaii, U.S.A., January 1999.

(62) Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 (and here) - http://comjnl.oxfordjournals.org/cgi/reprint/42/4/270 and abstract.

[

[This is also Chris Wallace's most cited work which is co-authored by a still active MML researcher.]

(63) Wallace, C.S. and D.L. Dowe (1999b). Refinements of MDL and MML coding (reply to 4 replies to our Computer Journal article), (reply to J. J. Rissanen Computer Journal article), Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp330-337 (and here) - http://comjnl.oxfordjournals.org/cgi/reprint/42/4/330 and abstract.

(64) Wallace, C.S. and D.L. Dowe (1999c). Rejoinder (reply to 4 replies to our Computer Journal article), Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp345-347 (and here) - http://comjnl.oxfordjournals.org/cgi/reprint/42/4/345 and abstract.

(6?) V. Estivill-Castro, L. Brankovic and D.L. Dowe (1999). Privacy in data mining. Privacy - Law and Policy Reporter, (invited and not refereed) Vol. 9, No. 3, September 1999, pp33-35.

(65) Viswanathan, M., Wallace, C.S., D.L. Dowe and K.B. Korb (1999). Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation, pp405-416, Proc. 12th Australian Joint Conf. on Artif. Intelligence, Lecture Notes in Artificial Intelligence (LNAI)

(66) Wallace, C.S. and D.L. Dowe (2000). MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83. [p73, p74, p75, p76, p77, p78, p79, p80, p81, p82, p83]

@article{Wallace.Dowe:2000,

author = "Wallace, C.S. and Dowe, D.L.",

title = "{MML} clustering of multi-state, {P}oisson, von {M}ises circular and {G}aussian distributions",

journal = "Statistics and Computing",

volume = 10,

pages = "73-83",

month = "Jan.",

year = 2000

}

p73, p74, p75, p76, p77, p78, p79, p80, p81, p82, p83 http://www.wkap.nl/issuetoc.htm/0960-3174+10+1+2000 http://www.wkap.nl/sampletoc.htm?0960-3174+10+1+2000 http://www.wkap.nl/jrnlsample.htm?0960-3174 http://www.wkap.nl/sample.pdf?251190

% Snob, MML clustering, MML mixture models, MML finite mixture models, MML mixture modelling, MML finite mixture modelling, MML mixture modeling, MML finite mixture modeling, minimum message length clustering, minimum message length mixture models, minimum message length finite mixture models, minimum message length mixture modelling, minimum message length finite mixture modelling, minimum message length mixture modeling, minimum message length finite mixture modeling, Snob theory papers.

(67) Jansen, A.R, D.L. Dowe and G.E. Farr (2000). Inductive Inference of Chess Player Strategy. Proceedings of the Sixth Pacific Rim International Conference on Artificial Intelligence (PRICAI'2000), Lecture Notes in Artificial Intelligence (LNAI)

http://www.csse.monash.edu.au/~dld/Publications/2000/Jansen+Dowe+Farr_PRICAI2000.ref http://www.csse.monash.edu.au/~dld/Publications/2000/Jansen+Dowe+Farr_InductiveInferenceOfChessPlayerStrategy_PRICAI2000.ps http://www.csse.monash.edu.au/~dld/Publications/2000/Jansen+Dowe+Farr_InductiveInferenceOfChessPlayerStrategy_PRICAI2000.pdf (Was at http://www.csse.monash.edu.au/~tonyj/papers/pricai2000cr.ps, http://www.csse.monash.edu.au/~tonyj/pricai2000cr.ps.)

(68) Fitzgibbon, L.J., L. Allison and D.L. Dowe (2000). Minimum Message Length grouping of ordered data. Proc. 11th Int. Workshop on Algorithmic Learning Theory (ALT 2000), Lecture Notes in Artificial Intelligence (LNAI)

(69) Needham, S.L. and D.L. Dowe (2001). Message Length as an Effective Ockham's Razor in Decision Tree Induction. Proc. 8th International Workshop on Artificial Intelligence and Statistics (AI+STATS 2001), pp253-260, Key West, Florida, U.S.A., Jan. 2001. www.csse.monash.edu.au/~dld/Publications/2001/Needham+Dowe2001_Ockham.ps (was also once at http://www.ai.mit.edu/conferences/aistats2001/files/needham122.ps) (or as .pdf at www.csse.monash.edu.au/~dld/Publications/2001/Needham+Dowe2001_Ockham.pdf) http://www.csse.monash.edu.au/~dld/Publications/2001/Needham+Dowe2001.ref

(70) Dowe, D.L. and G.R. Oppy (2001). "Universal Bayesian inference?". Behavioral and Brain Sciences (BBS), Vol. 24, No. 4, August 2001 (special issue on the work of Roger Shepard), pp662-663. [p662, p663]

(71) Fitzgibbon, L.J., D.L. Dowe and L. Allison (2002a). Univariate Polynomial Inference by Monte Carlo Message Length Approximation; 19th International Conference on Machine Learning (ICML'2002), Sydney, Australia, 8-12 July 2002, Morgan Kaufmann, pp147-154. http://www.csse.monash.edu.au/~dld/Publications/2002/Fitzgibbon+Dowe+Allison02a_ICML02.ref (was also http://www.csse.monash.edu.au/~leighf/papers/Fitzgibbon02a/ http://www.csse.monash.edu.au/~leighf/papers/Fitzgibbon02a.ps.tgz)

(72) Fitzgibbon, L.J., D.L. Dowe and L. Allison (2002b). Change-Point Estimation Using New Minimum Message Length Approximations. Proc. 7th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2002), Tokyo, Japan, 18-22 August, 2002, Published in Lecture Notes in Artificial Intelligence (LNAI)

(73) Tan, P.J. and D.L. Dowe (2002). MML Inference of Decision Graphs with Multi-Way Joins, Proc. 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, 2-6 Dec. 2002, Published in Lecture Notes in Artificial Intelligence (LNAI)

(74) Kornienko, L., D.L. Dowe and D.W. Albrecht (2002). Message Length formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme. Proc. 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, 2-6 Dec. 2002, Published in Lecture Notes in Artificial Intelligence (LNAI)

% Gives very crude preliminary spiky code model of MML SVMs

% (Minimum Message Length Support Vector Machines).

(75) Agusta, Y. and D.L. Dowe (2002a). MML clustering of continuous-valued data using Gaussian and t distributions, Proc. 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, 2-6 Dec. 2002, Published in Lecture Notes in Artificial Intelligence (LNAI)

@inproceedings{AgustaDowe02a,

author = "Y. Agusta and D. L. Dowe",

title = "{MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions}",

booktitle = "Lecture Notes in Artificial Intelligence",

year = "2002",

month = "December",

editor = "B. McKay and J. Slaney",

pages = "143-154",

publisher = "Springer-Verlag",

address = "Berlin, Germany",

volume = "2557",

ISSN = "0302-9743",

note = "www.csse.monash.edu.au/~dld/Publications/2002/AgustaDowe2002MMLClusteringGaussian+t.pdf"

% uses Minimum Message Length }

(76) Agusta, Y. and D.L. Dowe (2002b). Clustering of Gaussian and t Distributions using Minimum Message Length, Proc. International Conference on Knowledge Based Computer Systems (KBCS 2002), Mumbai, India, Dec. 2002 (ISBN: 81-259-1428-5), Vikas Publishing House, pp289-299. http://www.ncst.ernet.in/kbcs2002

@inproceedings{AgustaDowe02b,

author = "Y. Agusta and D. L. Dowe",

title = "{Clustering of Gaussian and t Distributions using Minimum Message Length}",

booktitle = "Proceedings of the International Conference KBCS-2002",

year = "2002",

month = "December",

editor = "M. Sasikumar, H. J. Jayprasad, and M. Kavitha",

pages = "289-299",

publisher = "Vikas Publishing House Pvt. Ltd.",

address = "New Delhi, India",

ISBN = "81-259-1428-5",

note = "www.csse.monash.edu.au/~dld/Publications/2002/AgustaDowe2002ClusteringGaussian+tMML.pdf"

% uses MML }

(77) Oppy, G.R. and D.L. Dowe (2003). Stanford Encyclopedia of Philosophy (http://plato.stanford.edu) entry on the Turing Test (http://plato.stanford.edu/entries/turing-test), Thu. 10 Apr. 2003.

Oppy, Graham, Dowe, David, "The Turing Test", The Stanford Encyclopedia

of Philosophy (Summer 2003 Edition), Edward N. Zalta (ed.),

URL = http://plato.stanford.edu/archives/sum2003/entries/turing-test/.

(78) Comley, Joshua W. and D.L. Dowe (2003). General Bayesian Networks and Asymmetric Languages, Proc. 2nd Hawaii International Conference on Statistics and Related Fields, 5-8 June, 2003.

% This and Comley & Dowe (2005) are the first two papers which do MML Bayesian nets combining both discrete and continuous attributes.

%

% {Both this and Comley & Dowe (2005) concerns all of Generalised Bayesian nets,

% MML Bayesian nets, and MML Bayesian networks (or Generalised Bayes nets,

% MML Bayes nets, and MML Bayes networks (or Minimum Message Length Bayes nets

% and Minimum Message Length Bayes networks) or even mixed Bayes nets or

% mixed Bayesian nets or mixed Bayesian nets or mixed Bayesian networks)

% (or Generalised graphical models or MML graphical models, or

% Generalised directed graphical models or MML directed graphical models,

% or even mixed graphical models or MML mixed graphical models, or

% mixed directed graphical models or MML mixed directed graphical models,

% or MML Bayesian belief nets, or MML Bayesian belief networks);

% *and* deals with a mix of both continuous and discrete variables

% (or a mix of both numeric and symbolic variables)

% (or a mix of both numerical and categorical variables).

% A (possibly null) decision tree is in each node of these Bayesian nets.} http://www.csse.monash.edu.au/~dld/Publications/2003/Comley+Dowe03_HICS2003.ref http://www.csse.monash.edu.au/~dld/Publications/2003/Comley+Dowe03_HICS2003_GeneralBayesianNetworksAsymmetricLanguages.pdf http://www.hicstatistics.org/2003StatsProceedings/Joshua Comley.pdf

(79) Fitzgibbon, Leigh J., D.L. Dowe and L. Allison (2003). Bayesian Posterior Comprehension via Message from Monte Carlo, Proc. 2nd Hawaii International Conference on Statistics and Related Fields, 5-8 June, 2003. http://www.csse.monash.edu.au/~dld/Publications/2003/Fitzgibbon+Dowe+Allison03_HICS2003.ref www.fitzgibbon.name/leigh/papers/Fitzgibbon03b.pdf www.fitzgibbon.name/leigh/papers/Fitzgibbon03b.bib.html

(80) Sanghi, P. and D.L. Dowe (2003). ``A computer program capable of passing I.Q. tests'', Proc. 4th International Conference on Cognitive Science (and 7th Australasian Society for Cognitive Science Conference), ICCS ASCS 2003 (http://www.cogsci.unsw.edu.au), Univ. of NSW, Sydney, Australia, 13-17 July 2003, Vol. 2, pp570-575. (The paper is currently downloadable from http://www-personal.monash.edu.au/~psan5 .)

@inproceedings{iq,

author = "P. Sanghi and D.L. Dowe",

title = "A Computer Program Capable of Passing I.Q. Tests",

editor = "P.P. Slezak",

booktitle = "Proceedings of the Joint International Conference on Cognitive Science, 4th ICCS International Conference on Cognitive Science \& 7th ASCS Australasian Society for Cognitive Science (ICCS/ASCS-2003)",

month = "13-17 July",

year = "2003",

address = "Sydney, NSW, Australia",

pages = "570--575"

http://www.csse.monash.edu.au/~dld/Publications/2003/Sanghi+Dowe2003.ref }

http://www.csse.monash.edu.au/~dld/Publications/2003/Sanghi+Dowe2003.ref (and see also http://users.dsic.upv.es/~jorallo/iq/iq.html .)

[This paper (especially sec. 5.2) and Dowe and Hajek (1997b) and (sec. 2 [and its title] and sec. 4 of) Dowe and Hajek (1998) point out that MML, Kolmogorov complexity and two-part compression can be used to measure the inductive learning (or inductive inference) part of intelligence. For me, it all began perhaps a little before the time I gave a talk entitled ``MML and the Turing test'' on 27/Feb/1996 - see, e.g., [footnote 179 {or here} (on p543) of] Dowe (2008a). See also Hernandez-Orallo and Dowe (2010).]

(81) E. Makalic, L. Allison and D. L. Dowe (2003). MML Inference of Single-layer Neural Networks, in M. H. Hamza (ed.), Proc. 3rd IASTED International Conference on Artificial Intelligence and Applications (AIA 2003), Sept. 2003, Benalmadena, Spain, ACTA Press, Anaheim, CA, USA, ISBN: 0-88986-390-3 & ISSN: 1482-7913, pp 636-642.

(82) Y. Agusta and D. L. Dowe (2003a). Unsupervised Learning of Gamma Mixture Models using Minimum Message Length, in M. H. Hamza (ed.), Proc. 3rd IASTED International Conference on Artificial Intelligence and Applications (AIA 2003), Sept. 2003, Benalmadena, Spain, ACTA Press, Anaheim, CA, USA, ISBN: 0-88986-390-3 & ISSN: 1482-7913, pp 457-462.

@inproceedings{AgustaDowe03a,

author = "Y. Agusta and D. L. Dowe",

title = "{Unsupervised Learning of Gamma Mixture Models using Minimum Message Length}",

booktitle = "Proceedings of the 3rd IASTED conference on Artificial Intelligence and Applications",

year = "2003",

month = "September",

editor = "M. H. Hamza",

pages = "457-462",

publisher = "ACTA Press",

address = "Benalmadena, Spain",

ISBN = "0-88986-390-3", ISBN = "1482-7913",

note = "http://www.csse.monash.edu.au/~dld/Publications/2003/AgustaDowe2003UnsupervisedLearningGammaMixturesMML.pdf"

% uses MML to cluster and do mixture modelling }

(83) Y. Agusta and D. L. Dowe (2003b). Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models using MML, Proc. 16th Australian Joint Conference on Artificial Intelligence (AI'03), Perth, Australia, 3-5 Dec. 2003, Published in Lecture Notes in Artificial Intelligence (LNAI)

@inproceedings{AgustaDowe2003b,

author = "Y. Agusta and D. L. Dowe",

title = "{Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models using MML}",

booktitle = "Lecture Notes in Artificial Intelligence",

year = "2003",

month = "December",

editor = "T. D. Gedeon and L. C. Fung",

volume = "2903",

pages = "477-489",

publisher = "Springer-Verlag",

address = "Berlin, Germany",

ISSN = "0302-9743",

note = "http://www.csse.monash.edu.au/~dld/Publications/2003/Agusta+Dowe2003b.ref"

% uses Minimum Message Length } www.csse.monash.edu.au/~dld/Publications/2003/Agusta+Dowe2003b_Unsupervised.pdf http://www.csse.monash.edu.au/~dld/Publications/2003/Agusta+Dowe2003b.ref

(84) P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes, Proc. 16th Australian Joint Conference on Artificial Intelligence (AI'03), Perth, Australia, 3-5 Dec. 2003, Published in Lecture Notes in Artificial Intelligence (LNAI)

(85) Clarke, D.M., G.C. Smith, D.L. Dowe and D.P. McKenzie (2003). An empirically-derived taxonomy of common distress syndromes in the medically ill. J. Psychosomatic Research

% Snob application paper (applying MML finite mixture modelling program, Snob).

(86) Fitzgibbon, L.J., D. L. Dowe and F. Vahid (2004). Minimum Message Length Autoregressive Model Order Selection. In M. Palanaswami, C. Chandra Sekhar, G. Kumar Venayagamoorthy, S. Mohan and M. K. Ghantasala (eds.), International Conference on Intelligent Sensing and Information Processing (ICISIP), Chennai, India, 4-7 January 2004 (ISBN: 0-7803-8243-9, IEEE Catalogue Number: 04EX783), pp439-444.

www.csse.monash.edu.au/~dld/Publications/2004/Fitzgibbon+Dowe+Vahid2004.ref http://www.csse.monash.edu.au/~dld/Publications/2004/FitzgibbonDoweVahid_ICISIP2004.ps http://www.csse.monash.edu.au/~dld/Publications/2004/FitzgibbonDoweVahid_ICISIP2004.pdf

% MML time series, MML econometrics, MML econometric time series, MML autoregression, MML autoregressive time series, MML AR, minimum message length time series, minimum message length econometrics, minimum message length econometric time series, minimum message length autoregression, minimum message length autoregressive time series, minimum message length AR

(87) Bickerstaffe, A.C. and D. L. Dowe (2004). MML-based compressive models for musical melody. Proc. of 4th International ICSC Symposium on Engineering of Intelligent Systems (EIS 2004), Island of Madeira, Portugal, 29 Feb. - 2 Mar. 2004, ICSC Academic Press, Canada, ISBN: 3-906454-35-5, 6pp.

@inproceedings{bickerstaffe2004mml,

author = {{Bickerstaffe A. C., Dowe D. L.}},

title = {{MML-based Compressive Models for Musical Melody}},

booktitle = {{Proc. 4th International ICSC Symposium on Engineering of Intelligent Systems (EIS 2004)}},

address = {{Island of Madiera, Portugal}},

year = {{2004}},

note = "ICSC Academic Press, Canada, ISBN: 3-906454-35-5, 6pp" }

(88) P. J. Tan and D. L. Dowe (2004). MML Inference of Oblique Decision Trees, Proc. 17th Australian Joint Conference on Artificial Intelligence (AI'04), Cairns, Qld., Australia, Dec. 2004, Lecture Notes in Artificial Intelligence (LNAI)

and www.csse.monash.edu.au/~ptan/tmp/posterpdf.pdf (and www.csse.monash.edu.au/~dld/Publications/2004/PTanObliqueDecisionTreePresentation.pdf).

% Among other things, this gives a reasonable initial model of MML SVMs (MML SVM)

% (Minimum Message Length Support Vector Machines, Minimum Message Length SVM, MML Support Vector Machines).

% It puts the probabilistic support vector machines in the leaf nodes of the decision trees.

(89) Petit, Gerald R. and David L. Dowe (2004), "Rings of functions with integer derivatives at x=1", Bulletin of the Iranian Mathematical Society, Vol. 30, No. 1, April 2004, pp53-67. http://www.ims.ir/publications/bulletin/3001.htm http://www.ims.ir/publications/bulletin/3001-5.pdf

(90) Comley, Joshua W. and D.L. Dowe (2005). ``Minimum Message Length and Generalized Bayesian Nets with Asymmetric Languages'', Chapter 11 (pp265-294) in P. Gru:nwald, I. J. Myung and M. A. Pitt (eds.), Advances in Minimum Description Length: Theory and Applications, M.I.T. Press (MIT Press), April 2005, ISBN 0-262-07262-9. [Final camera ready copy was submitted in October 2003.]

[pp265-284 and pp285-294; p265, p266, p267, p268, p269, p270, p271, p272, p273, p274, p275, p276, p277, p278, p279, p280, p281, p282, p283, p284, p285, p286, p287, p288, p289, p290, p291, p292, p293, p294]

[The paper was originally submitted with the title: ``Minimum Message Length, MDL and Generalised Bayesian Networks with Asymmetric Languages'', but this was (unfortunately?) changed to ``Minimum Message Length and Generalized Bayesian Nets with Asymmetric Languages'']

http://mitpress.mit.edu/catalog/item/default.asp?sid=4C100C6F-2255-40FF-A2ED-02FC49FEBE7C&ttype=2&tid=10478 Table of contents is at www.mitpress.mit.edu/catalog/item/default.asp?sid=C89E957F-2B61-42E0-9438-842E83E534BF&ttype=2&tid=10478&mode=toc

%

% This and Comley & Dowe (2003) are the first two papers which do MML Bayesian nets combining both discrete and continuous attributes.

%

% % {Both this and Comley & Dowe (2003) concern all of Generalised Bayesian nets,

% MML Bayesian nets, and MML Bayesian networks (or Generalised Bayes nets, MML Bayes nets,

% and MML Bayes net, MML Bayes networks (or Minimum Message Length Bayes nets

% and Minimum Message Length Bayes networks) or even mixed Bayes nets or

% mixed Bayesian nets or mixed Bayesian nets or mixed Bayesian networks)

% (or Generalised graphical models or MML graphical models, or

% Generalised directed graphical models or MML directed graphical models,

% or even mixed graphical models or MML mixed graphical models, or

% mixed directed graphical models or MML mixed directed graphical models,

% or MML Bayesian belief nets, or MML Bayesian belief networks);

% *and* deals with a mix of both continuous and discrete variables

% (or a mix of both numeric and symbolic variables)

% (or a mix of both numerical and categorical variables).

% A (possibly null) decision tree (with its own internal nodes) is in each node of these Bayesian nets.}

[The chapter also mentions [sec. 11.4.2, pp271-272] the multinomial log-loss probabilistic scoring system of Dowe & Krusel (1993) (for more than 2 classes) and the Gaussian log-loss probabilistic scoring system of Dowe, Lentin, Oliver & Hurst (1996).] [For the writing up of an idea which I clearly and explicitly articulated (at the Australian AI'2002 conference) in Dec. 2002 which shows how to incorporate Bayesian priors into (such) log-loss probabilistic scoring systems, see, e.g., Tan & Dowe (2006).]

(91) Twardy, Charles R., Steve Gardner and D.L. Dowe (2005). Empirical Data Sets are Algorithmically Compressible: Reply to McAllister. Studies in the History and Philosophy of Science (Part A), Vol 36, No 2, pp 391-402, June 2005, ISSN: 0039-3681. \url{http://dx.doi.org/10.1016/j.shpsa.2005.04.004}

% \url{http://authors.elsevier.com/sd/article/S003936810500021X} http://www.sciencedirect.com/science?_ob=GatewayURL&_origin=CONTENTS&_method=citationSearch&_piikey=S003936810500021X&_version=1&md5=37843262f886249c7789ae186785768d}

(92) Collie, M.J., D.L. Dowe and L.J. Fitzgibbon (2005a). Stock Market Simulation and Inference Technique, Proc. Fifth International Conference on Hybrid Intelligent Systems (HIS'05), Rio de Janeiro - Brazil, November 06-09, 2005. www.csse.monash.edu.au/~dld/Publications/2005/Collie+Dowe+Fitzgibbon2005.ref www.csse.monash.edu.au/~dld/Publications/2005/CollieDoweFitzgibbonStockMarketSimulationAndInferenceTechniqueHIS2005Rio_paperCollieM-inftechnique.ps www.csse.monash.edu.au/~dld/Publications/2005/CollieDoweFitzgibbonStockMarketSimulationAndInferenceTechniqueHIS2005Rio_paperCollieM-inftechnique.pdf

[Possibly see expanded technical report version of this (above) in Collie, M.J., D.L. Dowe and L.J. Fitzgibbon (2005b).]

(93) Kornienko, L., D.W. Albrecht and D.L. Dowe (2005). A Preliminary MML Linear Classifier using Principal Components for Multiple Classes, in S Zhang and R Jarvis (eds.), Proc. 18th Australian Joint Conference on Artificial Intelligence (AI'2005), Lecture Notes in Artificial Intelligence, Springer-Verlag, Berlin, Germany, ISSN: 0302-9743, ISBN: 3-540-30462-2 & 978-540-30462-3, Vol 3809, pp 922-926, Dec. 2005.

www.csse.monash.edu.au/~dld/Publications/2005/Kornienko+Albrecht+Dowe2005.ref www.csse.monash.edu.au/~dld/Publications/2005/KornienkoAlbrechtDoweAI2005.pdf www.csse.monash.edu.au/~dld/Publications/2005/KornienkoAlbrechtDoweAI2005.ps

(94) Ooi, J.N. and D. L. Dowe (2005a). Inferring Phylogenetic Graphs of Natural Languages using Minimum Message Length, Volume I, pp I:143 - I:152, CAEPIA 2005 (11th Conference of the Spanish Association for Artificial Intelligence), Nov. 2005; ISBN 84-96474-13-5.

www.csse.monash.edu.au/~dld/Publications/2005/Ooi+Dowe2005.ref www.csse.monash.edu.au/~dld/Publications/2005/OoiDoweCAEPIA2005.ps www.csse.monash.edu.au/~dld/Publications/2005/OoiDoweCAEPIA2005.pdf

Jane Ooi's final_presentation_bak.ppt. This was slightly modified by David Dowe to give DDowe_CAEPIA2005_Ooi-Dowe_presentation.ppt and DDowe_CAEPIA2005_Ooi-Dowe_presentation.pdf and DDowe_CAEPIA2005_Ooi-Dowe_presentation.ps.

% This paper is a preliminary application of MML to linguistics. [See here to compare MML to the subsequent notion of MDL.]

(95) Sak M., D. L. Dowe and S. Ray (2005). Minimum Message Length Moving Average Time Series Data Mining. In Proceedings of the ICSC Congress on Computational Intelligence Methods and Applications (1st International Symposium on Advanced Computing in Financial Markets (ACFM2005, CIMA2005, www.CIMA2005.com)), Istanbul, Turkey, Dec. 15-17, 2005.

(96) Molloy, S., D.W. Albrecht, D. L. Dowe and K.M. Ting (2006). Model-Based Clustering of Sequential Data, Proc. 5th Annual Hawaii Intl. Conf. on Statistics, Mathematics and Related Fields, 22 pages, 16th - 18th January, 2006, Hawaii, U.S.A.

@inproceedings{molloy06,

author = {Molloy, S. B. and Albrecht, D. W. and Dowe, D. L. and Ting, K. M.},

title = {Model-{B}ased {C}lustering of {S}equential {D}ata},

booktitle = {Proceedings of the 5th Annual Hawaii International Conference

on Statistics, Mathematics and Related Fields},

year = {2006},

month = {January},

}

http://www.csse.monash.edu.au/~dld/Publications/2006/Molloy+Albrecht+Dowe+Ting2006.ref http://www.csse.monash.edu.au/~dld/Publications/2006/Molloy+Albrecht+Dowe+Ting2006_Model-Based_Clustering_of_Sequential_Data.pdf http://www.csse.monash.edu.au/~dld/Publications/2006/Molloy+Albrecht+Dowe+Ting2006_Model-Based_Clustering_of_Sequential_Data.ps

(97) Tan, P.J. and D. L. Dowe (2006). "Decision Forests with Oblique Decision Trees" (and .pdf here), [Proc. 5th Mexican International Conference on Artificial Intelligence (MICAI 2006),] Lecture Notes in Artificial Intelligence (LNAI) 4293, pp593-603, Springer. [Best MICAI 2006 student paper, equal best paper overall.] [This paper includes the writing up of an idea which I clearly and explicilty articulated (at the Australian AI'2002 conference) in Dec. 2002 and shows how to incorporate Bayesian priors into the log-loss probabilistic scoring systems of, e.g., Dowe & Krusel (1993) (p4, Table 3) and Dowe, Lentin, Oliver & Hurst (1996). See also, e.g., footnote 176 [or here] (sec. 0.2.5, p542) of Dowe (2008a), ``Foreword re C. S. Wallace''.]

(98) Maheswaran, T., J.G. Sanjayan, D. L. Dowe and P.J. Tan (2006). "MML Mixture Models of Heterogeneous Poisson Processes with Uniform Outliers for Bridge Deterioration", in A. Sattar and B.-H. Kang (eds.), Lecture Notes in Artificial Intelligence (LNAI) 4304, Springer [Proc. 19th ACS Australian Joint Conference on Artificial Intelligence, Hobart, Tasmania, 4-8 December 2006], pp322-331.

(99) D. L. Dowe (2007), Discussion following "Hedging Predictions in Machine Learning, A. Gammerman and V. Vovk", The Computer Journal, Vol. 50, No. 2, March 2007, pp167-168.

@Article{Dowe2007a,

title = "Discussion following ``{H}edging Predictions in Machine Learning, {A}. {G}ammerman and {V}. {V}ovk''",

author = "Dowe, D. L.",

journal = "Computer Journal",

volume = 50,

number = 2,

month = "March",

year = "2007",

pages = "167-168",

note = "http://comjnl.oxfordjournals.org/cgi/content/full/50/2/164#SEC7",

}

(100) David L. Dowe, Cesar Ferri, Jose Hernandez-Orallo, M. Jose Ramirez-Quintana (2007), "Applying MML to ILP", 4o Taller de Mineria de Datos y Aprendizaje (TAMIDA, 4th Workshop on Data Mining and Learning) (ISBN: 978-84-9732-602-5), in 2o Congreso Espanol de Informatica (CEDI, 2nd Spanish Conference on Informatics), pp323-332, 2007.

(101) Visser, G. and D. L. Dowe (2007). "Minimum Message Length Clustering Of Spatially-Correlated Data with Varying Inter-Class Penalties", 6th IEEE International Conference on Computer and Information Science (ICIS 2007), 11-13 July 2007, Melbourne, Australia, pp17-22.

(102 [introduction]) Dowe, D.L., S. Gardner and G.R. Oppy (2007). "Bayes not Bust!" (working title, later modified), accepted (Thu 29/6/2006) to British Journal for the Philosophy of Science (BJPS) [48(ish) pages]. Sent off

(102)

Dowe, D.L., S. Gardner and G.R. Oppy (2007) (Dec. 2007), "Bayes Not Bust! Why Simplicity is no problem for Bayesians", in Brit. J. Philos. Sci. (BJPS), Vol. 58, No. 4 (December 2007), pp709-754 (and here): Abstract, full text (and here), .pdf (and here); doi: 10.1093/bjps/axm033.

%

- - --------------------------------------- - -

%

- - --------------------------------------- - -

Final version: See final version here.

(103) A. P. Dalgleish, D. L. Dowe and I. D. Svalbe (2007). "Tomographic Reconstruction of Images from Noisy Projections - a Preliminary Study", Lecture Notes in Artificial Intelligence (LNAI) 4830, Springer, [Proc. 20th Australian Joint Conference on Artificial Intelligence, Surfers Paradise, Gold Coast, Queensland,] December 2007, pp539-548.

(104) Tan, P.J., D. L. Dowe and T. I. Dix (2007). "Building classification models from microarray data with tree-based classification algorithms", Lecture Notes in Artificial Intelligence (LNAI) 4830, Springer, [Proc. 20th Australian Joint Conference on Artificial Intelligence, Surfers Paradise, Gold Coast, Queensland,] December 2007, pp589-598.

[ (104 1/2 [other]) D. Dowe's Evidence-based medicine talk (Jan. 2007): "MML and statistically consistent invariant (objective?) Bayesian probabilistic inference". This led to Dowe (2008b). ]

(105) D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008) [Christopher Stewart WALLACE (1933-2004) memorial special issue [and front cover and back cover]], pp523-560 (and here). www.doi.org: 10.1093/comjnl/bxm117.

(106) A. Torsello and D. L. Dowe (2008a), "Learning a generative model for structural representations", Lecture Notes in Artificial Intelligence (LNAI) 5360 (Proc. 21st Australasian Joint Conf. on Artificial Intelligence (AI08), Auckland, NZ, 1-5 December 2008), pp573-583.

(107) A. Torsello and D. L. Dowe (2008b), "Supervised Learning of a Generative Model for Edge-Weighted Graphs", (and here [and here]), Proc. 19th International Conference on Pattern Recognition (ICPR08), Tampa, Florida, U.S.A., 8-11 December 2008, 4pp. [Thursday (11 Dec. 2008) session, Papers indexed by author.] IEEE Catalog Number: CFP08182 ; ISBN: 978-1-4244-2175-6 ; ISSN: 1051-4651 .

(108) D. L. Dowe (2008b), "Minimum Message Length and statistically consistent invariant (objective?) Bayesian probabilistic inference - from (medical) ``evidence''",

(109) M. Fridkin, D. L. Dowe and S. Musgrave (2008), ``Lexical Access via Phoneme to Grapheme Conversion'', Proc. Australasian Language Technology Association Workshop 2008, Hobart, Australia, Dec. 2008, pp28-36. (www.alta.asn.au/events/alta2008/proceedings/pdf/ALTA2008_05.pdf.)

[ (109 1/2) D. L. Dowe (2009). "Introduction to Minimum Message Length, applications and related issues", talk given at Monash University (Clayton, Australia) on Mon 23/Nov/2009. ]

(110) G. Visser, D. L. Dowe and I. D. Svalbe (2009). "Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections", Springer Lecture Notes in Artificial Intelligence (LNAI) (Proc. 22nd Australian Joint Conf. on Artificial Intelligence (AI'09), Melbourne, Australia, Dec. 2009), pp170-179.

(111) G. Visser, D. L. Dowe and J. P. Uotila (2009). "Enhancing MML Clustering using Context Data with Climate Applications", Springer Lecture Notes in Artificial Intelligence (LNAI) (Proc. 22nd Australian Joint Conf. on Artificial Intelligence (AI'09), Melbourne, Australia, Dec. 2009), pp350-359.

(112) P.E.R. Dale, M.B. Dale, D.L. Dowe, J.M. Knight, C.J. Lemckert, D.C. Low Choy, M.J. Sheaves and I. Sporne (2010), ``A conceptual model for integrating physical geography research and coastal wetland management, with an Australian example'',

[Published online before print 3 June, 2010.] doi: 10.1177/0309133310369617.

[Ray Solomonoff (1926-2009) 85th memorial conference (Wedn 30 Nov - Fri 2 Dec 2011), 3rd Call for Papers.

New 2012 PhD

(113) J. Hernandez-Orallo and D. L. Dowe (2010), "Measuring Universal Intelligence: Towards an Anytime Intelligence Test", (the) Artificial Intelligence journal (AIJ), Volume 174, Issue 18, December 2010, pp1508-1539. [www.doi.org: 10.1016/j.artint.2010.09.006 .]

[Received 16 December 2009; revised 24 September 2010; accepted 24 September 2010. Available online 29 September 2010.

Most downloaded article [and here and here and here and here and here and here and here and here and here and here and here and here and here] (as per www.elsevier.com/wps/find/journaldescription.cws_home/505601/description#description) from no later than Sun 6/March/2011 until no earlier than Wed 3/Aug/2011.]

[Original draft of this Hernandez-Orallo and Dowe paper at http://users.dsic.upv.es/proy/anynt .]

{This current Hernandez-Orallo and Dowe paper (with reference above) follows on earlier work - where Dowe and Hajek (1997a) and Dowe and Hajek (1997b) and (sec. 2 [and its title] and sec. 4 of) Dowe and Hajek (1998) and (especially sec. 5.2 of) Sanghi and Dowe (2003) point out that MML, Kolmogorov complexity and two-part compression can be used to measure the inductive learning (or inductive inference) part of intelligence. For me, it all began perhaps a little before the time I gave a talk entitled ``MML and the Turing test'' on 27/Feb/1996 - see, e.g., [footnote 179 {or here} (on p543) of] Dowe (2008a).}

Media:

The Economist: ``Intelligence Testing - Who are you calling bird-brained? (An attempt is being made to devise a universal intelligence test)'', 5/March/2011, page 82.

Levante-EMV: www.vidayestilo.es/especiales/sinc/articulos/tecnologia/busca-inteligencia-universal-30_6562.html

(from www.AgenciaSINC.es/esl/Noticias/En-busca-de-la-inteligencia-universal2)

Finanzas: www.finanzas.com/noticias-001/ciencia/2011-01-26/419124_test-mide-inteligencia-universal.html

ABC: www.abc.es/20110126/ciencia/abci-test-mide-inteligencia-universal-201101261222.html

Primicias24.com (Venezuala) : http://primicias24.com/tecnologia/el-test-que-mide-la-inteligencia-universal

El Mundo (www.elmundo.es/elmundo/2011/01/28/valencia/1296206985.html), 28/Jan/2011.

India: Times of India (India Times), http://TimesOfIndia.IndiaTimes.com/life-style/health-fitness/health/New-test-measures-intelligence-accurately/articleshow/7378668.cms

Cuba: Radio Bayamo, Cuba, http://www.RadioBayamo.icrt.cu/noticia.php?id=7968

Alpha Galileo. World's independent source of research news: http://www.alphagalileo.org/ViewItem.aspx?ItemId=94604&CultureCode=en

Eurekalert. Global news service of the AAAS (American Association for the Advancement of Science): http://www.eurekalert.org/pub_releases/2011-01/f-sf-oth012711.php#

``Universal tests of intelligence'', Monash University (News and Events) (direct link [``Intelligence test''] from www.monash.edu.au), Thu 24/March/2011. ``Universal intelligence'', (direct link [``Universal Intelligence''] from www.infotech.monash.edu.au), early April/2011.

New Scientist: "Ultimate IQ" ("Universal intelligence: One test to rule them all"), Sat 10/Sept/2011, pp42-45 (and black-and-white scan, and colour scan: p42, p43, p44, p45). {Aside: "IQ" is anthropomorphic or human specific, so it's a bit of a misnomer when we're trying to make very general tests.}

Lindy Burns interview of David Dowe, ABC 774 3LO radio, Melbourne, Australia, 7mins 34secs, Tue 13/Sept/2011, 4:23ish - 4:30ish pm.

"

University World News: "AUSTRALIA-SPAIN: A universal intelligence test" (again by Geoff Maslen), online Sun 6/Nov/2011.

More media.

[Ray Solomonoff (1926-2009) 85th memorial conference (Wedn 30 Nov - Fri 2 Dec 2011), 3rd Call for Papers.

New 2012 PhD

(114) David L. Dowe and Nayyar A. Zaidi (2010), "Database Normalization as a By-product of Minimum Message Length Inference", Proc. 23rd Australian Joint Conference on Artificial Intelligence (AI'2010) [Springer Lecture Notes in Artificial Intelligence (LNAI), vol. 6464], Adelaide, Australia, 7-10 December 2010, Springer, pp82-91. [www.doi.org: 10.1007/978-3-642-17432-2_9 .] Presentation slides (and [UPV Jan 2011] abstract).

(115) S. Musgrave and D. L. Dowe (2010), "Kinship, Optimality and Typology", Behavioral and Brain Sciences (BBS), Vol. 33, No. 5 (2010), pp397-398 (and, apparently, here).

[(115 1/2) abstract (and here) and UCM_Tue25Jan2011talk: ``MML, statistically consistent invariant Bayesian probabilistic inference and the elusive model paradox'' and elusive model paradox notes. Talk given at Dept of Philosophy (Filosofia), Universidad Complutense de Madrid (Moncloa), Moncloa, Madrid, Spain (Espan~a), Tue 25/Jan/2011.]

% [(115 3/4) abstract (and here), and ``MML intro''', "Database Normalization as a By-product of Minimum Message Length Inference"

% (and presentation slides), and anytime universal intelligence.]

(116) D. L. Dowe (2011b), ``Probabilistic and Gaussian Football Tipping'',

(Possibly see also link from www.mav.vic.edu.au/about-us/mavlist/446-mavlist-1219.html#1 .)

(117) J. Hernandez-Orallo and D. L. Dowe (2011), ``Mammals, machines and mind games. Who's the smartest?'', The Conversation, (Tue 26/April/2011 or) Wedn 27/April/2011. [2nd top billing at The Conversation on Wedn 27/April/2011.]

(118) D. L. Dowe (2011a [was to be 2010]), "MML, hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness", Handbook of the Philosophy of Science - (HPS Volume 7) Philosophy of Statistics, P.S. Bandyopadhyay and M.R. Forster (eds.), Elsevier, [ISBN: 978-0-444-51862-0 {ISBN 10: 0-444-51542-9 / ISBN 13: 978-0-444-51862-0}], pp901-982, 1/June/2011.

[(118 1/2) ``MML analysis of all data-sets and much more'', talk to Clayton School of I.T., Monash University, Thu 2/June/2011.]

[(118 3/4) Talks at Notre Dame University (NDU) Computer Science Summer School, Lebanon, July/2011:

1 Intro & MML (Minimum Message Length) in continuous, discrete

2 MML clustering, decision trees/graphs

3 Conjecture, Bayesian nets, database

4 Anytime universal intelligence

``MML analysis of all data-sets and much more'',

``MML intro''' (``MML, statistically consistent invariant Bayesian probabilistic inference and the elusive model paradox'') (and elusive model paradox notes),

Dowe, Gardner and Oppy (2007), ``Bayes Not Bust! Why Simplicity is no problem for Bayesians'',

Wallace and Dowe (1999a), ``Minimum Message Length and Kolmogorov complexity'',

some more MML notes,

decision (trees and) graphs: Tan and Dowe (2002), Tan and Dowe (2003), and decision trees with support vector machines (SVMs) Tan and Dowe (2004),

"Database Normalization as a By-product of Minimum Message Length Inference" (and presentation slides),

Hernandez-Orallo and Dowe (2010) [and (AI Journal) talk slides] and anytime universal intelligence [and :-) media :-) ],

Dowe (2008a), ``Foreword re C. S. Wallace'',

Dowe (2011a [June 2011]), "MML, hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness",

talks at Notre Dame University (NDU) Computer Science Summer School, Lebanon, July/2011.]

(119) Javier Insa-Cabrera, David L. Dowe, Sergio Espan~a-Cubillo, M.Victoria Hernandez-Lloreda and Jose Hernandez-Orallo (2011), ``Comparing humans and AI agents'', 4th Conference on Artificial General Intelligence, Mountain View, California, USA, (Wed-Sat) 3-6 August 2011 [http://agi-conf.org/2011], Lecture Notes in Artificial Intelligence (LNAI) Vol. 6830, Springer, pp122-132 (11pp or 10pp). Slides of AGI'2011 presentation.

(120) Jose Hernandez-Orallo, David L. Dowe, Sergio Espan~a-Cubillo, M.Victoria Hernandez-Lloreda and Javier Insa-Cabrera (2011), ``On more realistic environment distributions for defining, evaluating and developing intelligence'', 4th Conference on Artificial General Intelligence, Mountain View, California, USA, (Wed-Sat) 3-6 August 2011 [http://agi-conf.org/2011], Lecture Notes in Artificial Intelligence (LNAI) Vol. 6830, Springer, pp82-91 (10pp). Slides of AGI'2011 presentation.

(121) David L. Dowe, Jose Hernandez-Orallo and Paramjit K. Das (2011), ``Compression and intelligence: social environments and communication'', 4th Conference on Artificial General Intelligence, Mountain View, California, USA, (Wed-Sat) 3-6 August 2011 [http://agi-conf.org/2011], Lecture Notes in Artificial Intelligence (LNAI) Vol. 6830, Springer, pp204-211. Slides of AGI'2011 presentation.

[(121 1/2) D. L. Dowe (and bio'), ``(Bayesian/Algorithmic) Information theory, one- and two-part compression, and measures of intelligence''

([Sun 21/Aug/2011, 9-10a.m.] at Australian Singularity Summit 2011, Sat 20/Aug - Sun 21/Aug/2011) :

Introduction to Minimum Message Length (MML) as two-part compression,

Dowe & Hajek (1997), Dowe & Hajek (1998), Sanghi & Dowe (2003), "A Computer Program Capable of Passing I.Q. Tests" (2003),

anYnt project:

J. Hernandez-Orallo and D. L. Dowe (2010), "Measuring Universal Intelligence: Towards an Anytime Intelligence Test", AI journal [and downloads, and slides of a presentation],

D. L. Dowe, J. Hernandez-Orallo and P. K. Das (2011), ``Compression and intelligence: social environments and communication'' [and slides of AGI'2011 presentation, relating one-part predictive compression and two-part MML inference Ockham's razor compression to societal communication and intelligence];

J. Hernandez-Orallo, D. L. Dowe, S. Espan~a-Cubillo, M.Victoria Hernandez-Lloreda and J. Insa-Cabrera (2011), ``On more realistic environment distributions for defining, evaluating and developing intelligence'' [and slides of AGI'2011 presentation, introducing the Darwin-Wallace distribution]; and

J. Insa-Cabrera, D. L. Dowe, S. Espan~a-Cubillo, M.Victoria Hernandez-Lloreda and J. Hernandez-Orallo (2011), ``Comparing humans and AI agents'' [and slides of AGI'2011 presentation, with a preliminary test - as the title suggests - comparing human and computer program ``intelligence'']

([Sun 21/Aug/2011, 9-10a.m.] at Australian Singularity Summit 2011, Sat 20/Aug - Sun 21/Aug/2011).

Additional links of interest:

The Economist: ``Intelligence Testing - Who are you calling bird-brained? (An attempt is being made to devise a universal intelligence test)'', 5/March/2011, page 82,

C. S. Wallace (1933-2004) (2005), ``Statistical and Inductive Inference by Minimum Message Length'', Springer, 2005 [Link to table of contents, chapter headings and more],

Christopher Stewart WALLACE (1933-2004) memorial special issue, Computer Journal, (Vol. 51, No. 5 (Sept. 2008)) [and front cover and back cover],

Ray Solomonoff (1926-2009) 85th memorial conference (Wedn 30 Nov - Fri 2 Dec 2011), Melbourne, Australia.

Additional links added afterwards:

New Scientist: "Ultimate IQ" ("Universal intelligence: One test to rule them all"), Sat 10/Sept/2011, pp42-45 (and black-and-white scan, and colour scan: p42, p43, p44, p45). {Aside: "IQ" is anthropomorphic or human specific, so it's a bit of a misnomer when we're trying to make very general tests.}

Lindy Burns interview of David Dowe, ABC 774 3LO radio, Melbourne, Australia, 7mins 34secs, Tue 13/Sept/2011, 4:23ish - 4:30ish pm.

"

University World News: "AUSTRALIA-SPAIN: A universal intelligence test" (again by Geoff Maslen), online Sun 6/Nov/2011.]

[(121 3/4) "The Party Show", 3RRR radio (102.7FM radio), Melbourne, Australia, Sun 16/Oct/2011 00:00 - 02:00a.m. (2 hours),

hosted by Headley Gritter, ``TECHNOLOGY'': (guest panel of) David "Wiz" Moylan, Adam Turner, Assoc. Prof. David Dowe, 16th Oct 2011.]

(122) Javier Insa-Cabrera, David L. Dowe, Jose Hernandez-Orallo (2011), "Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test", (Spanish Artificial Intelligence Conference) CAEPIA 2011, San Cristobal de La Laguna, Tenerife, Spain, 7-11 November 2011 [Lecture Notes in Computer Science (LNCS), Vol. 7023, Springer], pp1-11. (.pdf, slides, bib .)

(123) D. L. Dowe and J. Hernandez-Orallo (2012), "IQ tests are not for machines, yet", Intelligence journal [and here, and here], Vol. 40, No. 2, March-April 2012, pp77-81.

(123 1/2) J Hernandez-Orallo, D L Dowe and M V Hernandez-Lloreda (2012a) : Measuring Cognitive Abilities of Machines, Humans and Non-Human Animals in a Unified Way: towards Universal Psychometrics, Technical report 2012/267, Clayton School of Information Technology, Monash University, Clayton, Vic. 3800, Australia, March 2012, 38 pp. Abstract available.

(124) J. Hernandez-Orallo, J. Insa, D. L. Dowe and Bill Hibbard (2012a), ``Turing Tests with Turing Machines'', The Alan Turing Centenary Conference (Turing-100), Manchester, England, U.K., June 2012, pp140-156 (and here and here, 17pp). (.pdf [and here], slides.)

(Only 39 papers accepted in this conference with 9 [or 10] Turing Award winners as guest speakers.)

(125) J. Hernandez-Orallo, J. Insa, D. L. Dowe and Bill Hibbard (2012b), "Turing Machines and Recursive Turing Tests", AISB/IACAP Joint Conference (Celebrating the Turing year), Birmingham, England, U.K., July 2012, 6pp. (.pdf, slides.)

(126) J. Insa, J. Hernandez-Orallo, D. L. Dowe, S. Espan~a and M.V. Hernandez-Lloreda (2012), ``The anYnt Project Intelligence Test: Lambda One'', AISB/IACAP Joint Conference (Celebrating the Turing year), Birmingham, England, U.K., July 2012, 8pp. (.pdf, slides.)

(127) G. Barmpalias and D. L. Dowe (2012), ``Universality probability of a prefix-free machine'', Philosophical Transactions of the Royal Society A [Mathematical, Physical & Engineering Sciences] (Phil Trans A), Theme Issue 'The foundations of computation, physics and mentality: the Turing legacy' compiled and edited by Barry Cooper and Samson Abramsky, 2012, 370, pp3488-3511; doi: 10.1098/rsta.2011.0319.

[3rd version/draft, recent version, 2nd version/draft, and summary.]

(127 1/2) J Hernandez-Orallo and D L Dowe (2012) : "Potential Properties of Turing Machines", Technical report 2012/271, Clayton School of Information Technology, Monash University, Clayton, Vic. 3800, Australia, Fri 3 August 2012, 22 pp. Abstract available.

(127 3/4) D. L. Dowe (2012), Turing computing machines, Turing tests and intelligence (originally to be entitled "

(127 7/8) D. L. Dowe, J. Harland and M. Hutter (2012), panel discussion, Panel: Alan Turing - Visionary and Genius, Singularity Summit Australia 2012, Kaleide Theatre (Bldg 8), RMIT University, 360 Swanston St, Melbourne, Vic., Australia, Sat. 18 Aug. 2012.

(128) G. Visser, P. E. R. Dale, D. L. Dowe, E. Ndoen, M. B. Dale and N. Sipe (2012), "A novel approach for modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data", Computational Ecology and Software, 2012, 2(3):140-159 (and Abstract). Published online 5 September 2012, www.IAEES.org .

(128 1/2) "The Conversation Hour", 774 ABC 3LO Melbourne Wedn 26/Sept/2012, 11:05ish a.m. - 11:59ish a.m., hosted by Jon Faine, (Conversation Hour forum: artificial intelligence An overview of the likelihood artificial intelligence will inhibit our day to day activities and the questions we should be aski... [Audio icon, Photo icon]) robots-and-artificial-intelligence, panel: David L. Dowe, Adam A. Ford, Meredith Doig (posted online Tuesday 16 October 2012 5:33pm).

(129) D. L. Dowe (2012y), ``The pervasive influence of Alan Turing's genius'' (and here),

(Note: Ada Byron is perhaps more commonly known as Ada Augusta Lovelace.)

(129 1/2) "Man versus machine: A question of intelligence", Monash Magazine (Monash University), February 2013, p27.

(130) J. Hernandez-Orallo & D. L. Dowe (2013), "On

(131) D. L. Dowe (2013), "Introduction to Ray Solomonoff 85th Memorial Conference", (Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, Proc. Ray Solomonoff 85th memorial conference,) LNAI 7070 (LNCS 7070), Springer, pp1-36.

(132) Thi Han Kyaw and D. L. Dowe (2013), "3D EEG Source Localisation: A Preliminary Investigation Using MML", AI 2013: Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence, Vol. 8272, Springer, pp74-79.

(133?) J. Hernandez-Orallo, D. L. Dowe and M. V. Hernandez-Lloreda (2014), "Universal Psychometrics: Measuring Cognitive Abilities in the Machine Kingdom", in press,

(134?) D. L. Dowe and J. Hernandez-Orallo (2013 or 2014), "How universal can an intelligence test be?" (and abstract) (DOI: http://dx.doi.org/10.1177/1059712313500502), [available online 13 November 2013],

(134 1/2 ?) ``Robots could cost Australian economy 5 million jobs, experts warn, as companies look to cut costs'', Radio Australia, 28/May/2014, by Greg Hoy (mentions David Dowe in passing).

(See also

``Robots could cost Australian economy 5 million jobs, experts warn, as companies look to cut costs'' [www.abc.net.au/news/2014-05-28/robots-could-cost-australian-economy-5-million-jobs-expert-says/5484740], ABC news, 28/May/2014

and

``Robots could cost Australian economy 5 million jobs, experts warn, as companies look to cut costs'', Yahoo news [7 news, The West Australian], 28/May/2014.)

(134 3/4 ?) Comment on Japanese news-reading android robot, Kodomoroid, on Adelaide ABC 891 radio (from 5:54ish - 6:00ish p.m. Melbourne time or 5:24ish - 5:30ish p.m. Adelaide time), drive time, Wedn 25/June/2014 (6mins 07secs) with Michael Smyth.

(135?) Y.-F. Li, P. K. Das and D. L. Dowe (2014), ``Two decades of Web application testing - A survey of recent advances'', Information Systems journal (recent articles), Volume 43, July 2014, pp20-54.

(136?) D. L. Dowe, ``Minimum Message Length, uniqueness of information, invariance and consistency conjecture, and applications'', Frontiers of Electrical and Electronic Engineering in China, Springer, accepted, to appear.

(137?) Invited book chapter on

Invited book chapter on

---------------------------

D L Dowe, J Oliver, L Allison, C S Wallace and T I Dix: A decision graph explanation of protein secondary structure prediction, (Technical report 92/163) Dept Computer Science, Monash University, Melbourne, 13pp, 1992. Abstract available. http://www.csse.monash.edu.au/publications/1992/tr-cs92-163-abs.ps.gz

http://www.csse.monash.edu.au/~dld/Publications/1992/Dowe+Oliver+Allison+Wallace+Dix1992_MonashCS_TR92.163.ref

D L Dowe and N Krusel: A decision tree model of bushfire activity, (Technical report 93/190) Dept Computer Science, Monash University, Melbourne, 7pp, 1993. Abstract available. [p1, p2, p3, p4, p5, p6, p7] http://www.csse.monash.edu.au/publications/1993/tr-cs93-190-abs.ps.gz

http://www.csse.monash.edu.au/~dld/Publications/1993/Dowe+Krusel1993_MonashCS_TR93.190.ref [This paper introduces log-loss probabilistic scoring for more than two classes - see p4, Table 3.]

C S Wallace and D L Dowe (1993): MML estimation of the von Mises concentration parameter, (Technical report 93/193) Dept Computer Science, Monash University, Clayton, Vic. 3168, Melbourne, Australia, 21pp, 1993. Abstract available. http://www.csse.monash.edu.au/publications/1993/tr-cs93-193-abs.ps.gz

http://www.csse.monash.edu.au/~dld/Publications/1993/Wallace+Dowe1993_MonashCS_TR93.193.ref

D L Dowe and K B Korb: Conceptual difficulties with the efficient market hypothesis: Towards a naturalized economics, (Technical report 94/215) Dept Computer Science, Monash University, Melbourne, 12pp, 1994. http://www.csse.monash.edu.au/publications/1994/tr-cs94-215-abs.ps.gz

http://www.csse.monash.edu.au/~dld/Publications/1994/Dowe+Korb1994_MonashCS_TR94.215.ref

D L Dowe, Classes of functions with Integer Derivatives at x=1, Technical Report #95/217, Dept Computer Science, Monash University, Melbourne, 10pp, 1995.

http://www.csse.monash.edu.au/publications/1995/tr-cs95-217-abs.ps.gz

http://www.csse.monash.edu.au/~dld/Publications/1995/Dowe1995_MonashCS_TR95.217.ref

J J Oliver and D L Dowe, Using unsupervised learning to assist supervised learning, Technical Report #95/235, Dept Computer Science, Monash University, Melbourne, 8pp, 1995.

http://www.csse.monash.edu.au/publications/1995/tr-cs95-235-abs.html

http://www.csse.monash.edu.au/~dld/Publications/1995/Oliver+Dowe1995_MonashCS_TR95.235.ref

D L Dowe, J J Oliver, R A Baxter and C S Wallace, "Bayesian Estimation of the von Mises concentration parameter", Technical Report #95/236, Dept Computer Science, Monash University, Melbourne, 8pp, 1995.

http://www.csse.monash.edu.au/~dld/Publications/1995/Dowe+Oliver+Baxter+Wallace1995_MonashCS_TR95.236.ref

D L Dowe, L Allison, T I Dix, L Hunter, C S Wallace and T Edgoose, "Circular clustering by Minimum Message Length of protein dihedral angles", Technical Report #95/237, Dept Computer Science, Monash University, Melbourne, 14pp, 1995. http://www.csse.monash.edu.au/~dld/Publications/1995/Dowe+Allison+Dix+Hunter+Wallace+Edgoose1995_MonashCS_tr-cs95-237-abs.html http://www.csse.monash.edu.au/~dld/Publications/1995/Dowe+Allison+Dix+Hunter+Wallace+Edgoose1995_MonashCS_tr-cs95-237.ps.gz http://www.csse.monash.edu.au/~dld/Publications/1995/Dowe+Allison+Dix+Hunter+Wallace+Edgoose1995_MonashCS_tr-cs95-237.ps.Z http://www.csse.monash.edu.au/~dld/Publications/1995/Dowe+Allison+Dix+Hunter+Wallace+Edgoose1995_MonashCS_TR95.237.ref

D L Dowe, J J Oliver, C S Wallace, "MML estimation of the parameters of the spherical Fisher Distribution", Technical Report #96/272, Dept Computer Science, Monash University, Melbourne, 15pp, 1996. http://www.csse.monash.edu.au/publications/1996/tr-cs96-272-abs.html

http://www.csse.monash.edu.au/~dld/Publications/1996/Dowe+Oliver+Wallace1996_MonashCS_TR96.272.ref

R A Baxter and D L Dowe, "Model selection in linear regression using the MML criterion", Technical Report #96/276, Dept Computer Science, Monash University, Melbourne, 13pp, 1996.

http://www.csse.monash.edu.au/publications/1996/tr-cs96-276-abs.ps.gz

http://www.csse.monash.edu.au/~dld/Publications/1996/Baxter+Dowe1996_MonashCS_TR96.276.ref

D L Dowe, G E Farr, A J Hurst and K L Lentin, "Information-theoretic football tipping", Technical Report #96/297, Dept Computer Science, Monash University, Melbourne, 11pp, 1996.

http://www.csse.monash.edu.au/publications/1996/tr-cs96-297-abs.html

http://www.csse.monash.edu.au/~dld/Publications/1996/Dowe+Farr+Hurst+Lentin1996_MonashCS_TR96.297.ref

D.L.Dowe, C.S. Wallace, "Resolving the Neyman-Scott Problem by Minimum Message Length", Technical Report #97/307, Dept Computer Science, Monash University, Melbourne, 10pp, 1997.

http://www.csse.monash.edu.au/publications/1997/tr-cs97-307-abs.html

http://www.csse.monash.edu.au/~dld/Publications/1997/Dowe+Wallace1997_MonashCS_TR97.307.ref

D L Dowe, A R Hajek (1997), "A computational extension to the Turing Test", Technical Report #97/322, Dept Computer Science, Monash University, Melbourne, 9pp, 1997. [.pdf, .ps] http://www.csse.monash.edu.au/publications/1997/tr-cs97-322-abs.html

http://www.csse.monash.edu.au/~dld/Publications/1997/Dowe+Hajek1997_MonashCS_TR97.322.ref

[This technical report and (sec. 2 [and its title] and sec. 4 of) Dowe and Hajek (1998) and (sec. 5.2 of) Sanghi and Dowe (2003) point out that MML, Kolmogorov complexity and two-part compression can be used to measure the inductive learning (or inductive inference) part of intelligence. For me, it all began perhaps a little before the time I gave a talk entitled ``MML and the Turing test'' on 27/Feb/1996 - see, e.g., [footnote 179 (on p543) of] Dowe (2008a). See also Hernandez-Orallo and Dowe (2010).]

L.J. Fitzgibbon, D.L. Dowe and L. Allison, "Message from Monte Carlo", Technical Report #2002/107, School of Computer Science and Software Engineering, Monash University, Melbourne, 67pp, 2002.

http://www.csse.monash.edu.au/publications/2002/tr-2002-107-abs.html

http://www.csse.monash.edu.au/~dld/Publications/2002/Fitzgibbon+Dowe+Allison02c_MonashCSSE_TR2002.107.ref

www.fitzgibbon.name/leigh/papers/Fitzgibbon02c.bib.html

E. Makalic, L. Allison and D. L. Dowe (2003). MML Inference of Single-layer Neural Networks, Technical Report 2003/142, School of Computer Science and Software Engineering, Monash University, Melbourne, Australia, 22pp, 2003. http://www.csse.monash.edu.au/publications/2003-tr-2003-142-abs.html

http://www.csse.monash.edu.au/publications/2003/tr-2003-142-full.ps

http://www.csse.monash.edu.au/~dld/Publications/2003/Makalic+Allison+Dowe03a_MonashCSSE_TR2003.142.ref

Collie, M.J., D.L. Dowe and L.J. Fitzgibbon (2005b). Trading rule search with autoregressive inference agents, Technical Report 2005/174 (abstract available), School of Computer Science and Software Engineering, Monash University, Clayton 3168, Melbourne, Australia, 10pp, 2005.

http://www.csse.monash.edu.au/~dld/Publications/2005/CollieDoweFitzgibbonTradingRuleSearchwithAutoregressiveInferenceAgents_TR2005_174_TRinftechnique.pdf

http://www.csse.monash.edu.au/~dld/Publications/2005/CollieDoweFitzgibbonTradingRuleSearchwithAutoregressiveInferenceAgents_TR2005_174_TRinftechnique.ps

[This (above) is an expanded version of Collie, M.J., D.L. Dowe and L.J. Fitzgibbon (2005a).]

J N Ooi and D L Dowe (2005b): Inferring Phylogenetic Graphs for Natural Languages using MML, Clayton School of Information Technology, Monash University, Melbourne, 36pp. Technical report 2005/178. Abstract available.

Kornienko, L., D.W. Albrecht and D.L. Dowe (2005b). A Preliminary MML Linear Classifier Using Principal Components for Multiple Classes, Technical report no: 2005/179 (abstract available), School of CSSE, Monash University, Clayton 3168, Australia.

J Hernandez-Orallo, D L Dowe and M V Hernandez-Lloreda (2012a) : Measuring Cognitive Abilities of Machines, Humans and Non-Human Animals in a Unified Way: towards Universal Psychometrics, Technical report 2012/267, Clayton School of Information Technology, Monash University, Clayton, Vic. 3800, Australia, March 2012, 38 pp. Abstract available.

J Hernandez-Orallo and D L Dowe (2012) : "Potential Properties of Turing Machines", Technical report 2012/271, Clayton School of Information Technology, Monash University, Clayton, Vic. 3800, Australia, Fri 3 August 2012, 22 pp. Abstract available.

[The papers above (and possibly some of the media stuff mentioned below) are requestable as printed hard copy from either [more reliable] writing a letter to my ``snail mail'' postal address {see my home page, http://www.csse.monash.edu.au/~dld} or [perhaps less reliable] e-mail to enquiries At cs.monash.edu.au (if you send your name and postal address and make it clear what you want).]

"Fighting families come to grief", Herald-Sun, 16/8/96, page 16. This article discusses the Kissane, Dowe et al. Melbourne Family Grief Study work.

"Boffins have the numbers", Herald-Sun, 24/9/97 (AM and PM editions), page 5. This article discusses our probabilistic football prediction competition.

Radio interview with Neil Mitchell of 3AW, Wedn 24/9/97, 10:50a.m. (7 minutes; then followed by talk-back callers), regarding probabilistic football prediction competition.

Radio interview with Jules Retrot of Tasmanian ABC 7ZR and 7NT, Thur 25/9/97, 3:35p.m. (12 minutes), regarding probabilistic football prediction competition.

Expert computer footy tipster in The Australian for the 1998 AFL season (Sat 28/3 (p66) 5/ 7 6/ 8, Fri 3/4 p19 10/15 11/16, Sat 11/4 p40 17/23 18/24, Fri 17/4 (p18) 20/31 21/32, Fri 24/4 p19 +6/8 27/40, Fri 1/5 p21 +5/8, 32/48, Fri 8/5 (p18) +3 35/ 56, Fri 15/5 (p20) +7 42/ 64, Fri 22/5 p20 +4 46/ 72, Fri 29/5 (p22) +6 52/ 80, ??? , ... .)

Expert computer footy tipster in The Australian for the 1999 season (Fri 26/3 (p20) / 8.)

Ultimode corporation has been expressing interest in re-writing the MML clustering program, Snob (Wallace and Dowe, 1994, 1997a, 1997b), as a commercial product. The Age, IT section, 31/3/98.

"Punters: the game's on" (with photo), Monash News (Monash), April 1998, page 4. This article is about our probabilistic footy-tipping competition and mentions my recently having joined The Australian as an expert computer footy tipster.

"Football tipping with a difference", Waverley Gazette, 5 May 1998, page 3.

"North has the numbers", Herald-Sun, 24/9/98 (AM and PM editions), page 7.

"One-eyed expert goes for Adelaide", The Weekend Australian, Sat 26/9/98, p 70.

"You've got to be in it!" (with photo), Monash Memo (Monash), Issue 25, Wed 21/10/1998, page 1.

"Scrapbook", Learn, The Herald Sun, Tue 23/3/99, page 32. This article is about Monash University CSSE's probabilistic footy-tipping competition at www.csse.monash.edu.au/~footy .

Pre-recorded on Wed 1/05/2002 between 2:10p.m. and 2:40p.m.; Fri 3/05/2002 (8:30a.m. - 9:00a.m.) "The Sports Factor" 621 AM ABC Radio National interview with Amanda Smith; about 9 minutes (from 8:50 - 8:59). The program was about combining education with sport. Dr David Dowe's segment was talking about the probabilistic footy-tipping competition (at http://www.csse.monash.edu.au/~footy) and its educational and pedagogical merits for school kids. http://www.abc.net.au/rn/talks/8.30/sportsf/stories/s546875.htm

The Economist: ``Intelligence Testing - Who are you calling bird-brained? (An attempt is being made to devise a universal intelligence test)'', 5/March/2011, page 82.

``Probabilistic and Gaussian Football Tipping'', Vinculum (The Mathematical Association of Victoria) [ISSN 0157 - 759X], pp10-12, Vol. 48, Term 2, 2011.

``Mammals, machines and mind games. Who's the smartest?'', The Conversation, (Tue 26/April/2011 or) Wedn 27/April/2011.

``The Age'' (Melbourne, Australia), Sat 14/May/2011, chess column, Life & Style (section), page 48.

New Scientist: "Ultimate IQ" ("Universal intelligence: One test to rule them all"), Sat 10/Sept/2011, pp42-45 (and black-and-white scan, and colour scan: p42, p43, p44, p45). {Aside: "IQ" is anthropomorphic or human specific, so it's a bit of a misnomer when we're trying to make very general tests.}

Lindy Burns interview of David Dowe, ABC 774 3LO radio, Melbourne, Australia, 7mins 34secs, Tue 13/Sept/2011, 4:23ish - 4:30ish pm.

["The Party Show", 3RRR radio (102.7FM radio), Melbourne, Australia, Sun 16/Oct/2011 00:00 - 02:00a.m. (2 hours), hosted by Headley Gritter,

``TECHNOLOGY'': (guest panel of) David "Wiz" Moylan, Adam Turner, Assoc. Prof. David Dowe, 16th Oct 2011.]

"

University World News: "AUSTRALIA-SPAIN: A universal intelligence test" (again by Geoff Maslen), online Sun 6/Nov/2011.

"The Conversation Hour", 774 ABC 3LO Melbourne Wedn 26/Sept/2012, 11:05ish a.m. - 11:59ish a.m., hosted by Jon Faine, (Conversation Hour forum: artificial intelligence An overview of the likelihood artificial intelligence will inhibit our day to day activities and the questions we should be aski... [Audio icon, Photo icon]) robots-and-artificial-intelligence, panel: David L. Dowe, Adam A. Ford, Meredith Doig (posted online Tuesday 16 October 2012 5:33pm).

``Robots could cost Australian economy 5 million jobs, experts warn, as companies look to cut costs'', Radio Australia, 28/May/2014, by Greg Hoy (mentions David Dowe in passing).

(See also

``Robots could cost Australian economy 5 million jobs, experts warn, as companies look to cut costs'' [www.abc.net.au/news/2014-05-28/robots-could-cost-australian-economy-5-million-jobs-expert-says/5484740], ABC news, 28/May/2014

and

``Robots could cost Australian economy 5 million jobs, experts warn, as companies look to cut costs'', Yahoo news [7 news, The West Australian], 28/May/2014.)

Comment on Japanese news-reading android robot, Kodomoroid, on Adelaide ABC 891 radio (from 5:54ish - 6:00ish p.m. Melbourne time or 5:24ish - 5:30ish p.m. Adelaide time), drive time, Wedn 25/June/2014 (6mins 07secs) with Michael Smyth.

See also www.csse.monash.edu.au/~footy/media.shtml and Hernandez Orallo and Dowe (2010) (and media) and media.

Other links - links to pages on:

Copyright
David L. Dowe,
Monash University, Australia,
2005, etc.

Copying is not permitted without expressed permission from
David L. Dowe.
This WWW page is http://www.cs.monash.edu.au/~dld/David.Dowe.publications ,
and was last updated no earlier than Fri 20th Dec 2002.
E-mail David Dowe, d l d at cs.monash.edu.au, for more information.
WWW (URL): http://www.cs.monash.edu.au/~dld/ .
Copyright Dr David L. Dowe, School of Computer Science and Softw. Engineering,
Monash University, Clayton, Vic. 3168, Australia; 16 Sept 2005, etc.