David Dowe - (some) publications


  • David Dowe's publications are listed here (below, fairly up-to-date), and here, and a selected list of some of my publications since 1992 is given here -- requestable in printed hard copy from either [more reliable] writing a letter to my ``snail mail'' postal address (see www.csse.monash.edu.au/~dld) or [perhaps less reliable] e-mail to enquiries At cs.monash.edu.au. And a brief, sketchy outline of some of my academic interests is here (was here).

    Short-cut to 1986, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, technical reports.

    Publications:
    (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 47 Part 1 (August 1989), pp84-89 (http://anziamj.austms.org.au/JAMSA/V47/Part1/Dowe/p0084.html) [Abstract and p84, p85, p86, p87, p88, p89]. (attracted correspondence from Prof. Pa'l Erdo:s, at the time the world's most famous living mathematician)

    (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 17 No. 4 (Aug 1990), pp95-98. [p95, p96, p97, p98]

    (8) Dowe, D.L. (1990d) Can Black force a win? Journal of the International Computer Chess Association, Vol 13 No. 3 (Sep 1990), pp165-166. [p165, p166]

    (9) Dowe, D.L. (1990e) Chess - Can Black force a win? Gazette of the Australian Mathematical Society, Vol 17 No. 5 (Oct 1990), pp158-159. [p158, p159]

    (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.

    (17) Zakis, J.D., I. Cosic and D.L. Dowe (1994). Classification of protein spectra derived for the Resonant 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 8, No. 3, pp71-72.

    (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, 153, 650-658.
    % 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, 153, 659-666.
    % 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) 1394, Melbourne, Australia, April 1998.)

    (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) 1160, pp213-227, Sydney, Australia, 23-25 October 1996. [p213, p214, p215, p216, p217, p218, p219, p220, p221, p222, p223, p224, p225, p226, p227] http://dx.doi.org./10.1007/3-540-61863-5_48 (best papers accepted as longer papers: 39% acceptance rate)

    (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) 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.

    (46) Dowe, D.L. (1997). The contribution of variance to utility functions, pp 1-5, 1997 Australasian Meeting of the Econometric Society (ESAM'97), Volume 3 (Macroeconometrics and Finance), Melbourne, 2-4 July '97. [p1, p2, p3, p4, p5]

    (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.]

    (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.]

    (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) 1394, Melbourne, Australia, April 1998, Springer-Verlag. [p87, p88, p89, p90, p91, p92, p93, p94, p95]

    (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) 1394, Melbourne, Australia, April 1998, Springer-Verlag. [p96, p97, p98, p99, p100, p101, p102, p103, p104, p105, p106, p107, p108, p109]
    % 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) 1394, Melbourne, Australia, April 1998, Springer-Verlag.

    (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), Gold Coast, Qld, 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), Gold Coast, Qld, 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), Gold Coast, Qld, 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 - http://comjnl.oxfordjournals.org/cgi/reprint/42/4/270 and abstract.
    [** This article is the Computer Journal's most downloaded ``full text as .pdf''. See, e.g., the Computer Journal, Editorial, vol. 48, no. 4 (2005), p381 (http://comjnl.oxfordjournals.org/cgi/reprint/48/4/381). **]

    (63) Wallace, C.S. and D.L. Dowe (1999b). Refinements of MDL and MML coding (reply to J. J. Rissanen Computer Journal article), Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp330-337 - 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 - 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) 1747 (Springer-Verlag), Sydney, Australia, December 1999. [p405, p406, p407, p408, p409, p410, p411, p412, p413, p414, p415, p416]

    (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) 1886 (Copyright Springer-Verlag), pp61-71. (DETYA C1 fully refereed journal article.)
    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) 1968 (Springer-Verlag), pp56-70, Sydney, Australia, 11-13 December 2000. (DETYA C1 fully refereed journal article.) http://www.csse.monash.edu.au/~dld/Publications/2000/Fitzgibbon+Allison+Dowe_ALT2000.ref www.csse.monash.edu.au/~dld/Publications/2000/Fitzgibbon+Allison+Dowe_ALT2000_MML_Grouping_of_Ordered_Data.ps www.csse.monash.edu.au/~dld/Publications/2000/Fitzgibbon+Allison+Dowe_ALT2000_MML_Grouping_of_Ordered_Data.pdf http://www.csse.monash.edu.au/~leighf/papers/Fitzgibbon00

    (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) 2417 (Springer-Verlag), pp244-254. http://www.csse.monash.edu.au/~dld/Publications/2002/Fitzgibbon+Dowe+Allison02b_PRICAI02.ref (was also http://www.csse.monash.edu.au/~leighf/papers/Fitzgibbon02b/ http://www.csse.monash.edu.au/~leighf/papers/Fitzgibbon02b.ps.tgz)

    (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) 2557, Springer-Verlag, pp131-142. http://www.cs.adfa.edu.au/~abbass/AI02 (This paper is requestable from ptan@csse.monash.edu.au or downloadable from http://www.csse.monash.edu.au/~dld/Publications/2002/Tan+Dowe2002_MMLDecisionGraphs.pdf www.csse.monash.edu.au/~dld/Publications/2002/Tan+Dowe2002.ref .)

    (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) 2557, Springer-Verlag, pp119-130. http://www.cs.adfa.edu.au/~abbass/AI02
    % 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) 2557, Springer-Verlag, pp143-154. http://www.cs.adfa.edu.au/~abbass/AI02
    @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 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
    [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.]

    (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) 2903, Springer-Verlag, pp477-489.
    @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) 2903, Springer-Verlag, pp269-281. http://www.csse.monash.edu.au/~dld/Publications/2003/Tan+Dowe2003_MMLDecisionGraphs.pdf http://www.csse.monash.edu.au/~dld/Publications/2003/Tan+Dowe2003.ref

    (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 54 (2003) pp323-330. [p323, p324, p325, p326, p327, p328, p329, p330]
    % 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_ICISIP04.ps http://www.csse.monash.edu.au/~dld/Publications/2004/FitzgibbonDoweVahid_ICISIP04.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) 3339, Springer-Verlag, pp1082-1088. http://www.csse.monash.edu.au/~dld/Publications/2004/Tan+Dowe2004.ref www.csse.monash.edu.au/~dld/Publications/2004/Tan+DoweAI2004.ps www.csse.monash.edu.au/~dld/Publications/2004/Tan+DoweAI2004.pdf
    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.] [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 concerns 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 (2005). 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

    (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).]

    (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) 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.

    (101) Dowe, D.L., S. Gardner and G.R. Oppy (2007) (Dec. 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 near-final version (on Fri 4/08/2006) as [accepted, 2006, earlier, near-final version] "Bayes Not Bust! Why Simplicity is no problem for Bayesians" [accepted, 2006, earlier, near-final version].
    Final version published December 2007 (of "Bayes Not Bust! Why Simplicity is no problem for Bayesians") in BJPS, Vol. 58, December 2007, pp709-754: Abstract, full text, .pdf; doi:10.1093/bjps/axm033 .
    % Abstract and Keywords: Minimum Message Length, MML, Bayesianism, statistical invariance, statistical consistency, efficiency, model selection, point estimation, information theory, Akaike Information Criterion, AIC, predictive accuracy, inference, prediction, simplicity, induction.
    % References missing from the accepted, 2006, earlier, near-final version of the paper include:
    Missing reference 1: Where we talk about Strict MML (in the BJPS submission), e.g. at the end of sec. 5.2, ..., this would probably be better as: "For other examples of applications of Strict MML, see the summary in \cite[secs. 11.2 and (pp269-270) 11.3.3]{ComleyDowe2005}.".
    Missing reference 2: In sec. 5.5 (Approximations to SMML), it would probably be better to modify the sentence: "More detailed expositions can be found in ..., and Wallace (2005, Ch. 5)" to include \cite[sec. 11.3.1]{ComleyDowe2005} and thus become "More detailed expositions can be found in ..., Wallace (2005, Ch. 5) and Comley and Dowe (2005, [pp268-269] sec. 11.3.1).".
    Missing reference 3: At the very end of the paper ([on p 52] before Appendices and References) when we mention the question (or conjecture), we would probably do better to also include the mention of this conjecture in \cite[sec. 5.3 (pp103-104)]{EdwardsDowe1998}.
    Additional note: In this paper (above), we compare MML and AIC, and give a comparison between MML and AIC.

    (102) 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.

    (103) 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.

    [other] D. Dowe's Evidence-based medicine talk (Jan. 2007): "MML and statistically consistent invariant (objective?) Bayesian probabilistic inference".

    (104) D. L. Dowe (2008), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008), pp523-560.

    (105) Invited book chapter on Intelligent Design (2008+).
    Invited book chapter on Intelligent Design.


    Technical Reports: ------------------
    ---------------------------
    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: MML estimation of the von Mises concentration parameter, (Technical report 93/193) Dept Computer Science, Monash University, Melbourne, 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.]

    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

    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.

    [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).]


    Some reports of my work in the media: -------------------------------------
    "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 .


  • Links to (links to) some of my publications from some of the following years: 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006.

    Other links - links to pages on:
  • Minimum message length (MML),
  • Chris Wallace (1933-2004) (developer of MML in 1968) and (his book) ``Statistical and Inductive Inference by Minimum Message Length'' [and links to table of contents, chapter headings and more],
  • Bayesian Nets using Minimum message length (MML)