An Objective Function Based on Bayesian Likelihoods of Necessity and Sufficiency For Concept Learning in the Absence of Labeled Counter-Examples

Andrew Skabar. An Objective Function Based on Bayesian Likelihoods of Necessity and Sufficiency For Concept Learning in the Absence of Labeled Counter-Examples. In Hamid R. Arabnia, Youngsong Mun, editors, Proceedings of the International Conference on Artificial Intelligence, IC-AI 04, Volume 2 & Proceedings of the International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 04, June 21-24, 2004, Las Vegas, Nevada, USA. pages 634-640, CSREA Press, 2004.

Abstract

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