4.Webb, G.I. and D. Brain (2006). Generality is Predictive of Prediction Accuracy. In LNAI State-of-the-Art Survey series, 'Data Mining: Theory, Methodology, Techniques, and Applications'. Berlin/Heidelberg: Springer, pages 1-13, (Note: an earlier version of this paper was published in the Proceedings of PKAW 2002, pp 117-130). [Abstract] [Pre-publication PDF][Link to paper via Springerlink]
3.Webb, G. I. and D. Brain (2002). Generality is Predictive of Predication Accuracy. In T. Yamaguchi, A. Hoffmann, H. Motoda and P. Compton (Eds.), Proceedings of the 2002 Pacific Rim Knowledge Acquisition Workshop (PKAW'02) Tokyo, Japan. Tokyo: Japanese Society for Artificial Intelligence, pages 117-130. [Abstract] [PDF]
2.Webb, G. I. (1996). Cost Sensitive Specialisation. In N.Y. Foo and R. Goebel (Eds.), Lecture Notes in Computer Science Vol. 1114. Topics in Artificial Intelligence: Proceedings of the Fourth Pacific Rim International Conference on Artificial Intelligence (PRICAI'96) Cairns, Australia. Berlin/Heidelberg: Springer-Verlag, pages 23-34. [Abstract] [Pre-publication PDF][Link to paper via Springerlink]
1.Webb, G. I. (1994). Generality Is More Significant Then Complexity: Toward An Alternative To Occams Razor. In C. Zhang, J. Debenham and D. Lukose (Eds.), Artificial Intelligence: Sowing the Seeds for the Future, Proceedings of Seventh Australian Joint Conference on Artificial Intelligence (AI'94) Armidale,NSW, Australia. Singapore: World Scientific, pages 60-67. [Abstract] [Pre-publication PDF]