Machine Learning, Clustering, and Polymorphy

27 Mar 2013Stephen Jose HansonMalcolm Bauer

This paper describes a machine induction program (WITT) that attempts to model human categorization. Properties of categories to which human subjects are sensitive includes best or prototypical members, relative contrasts between putative categories, and polymorphy (neither necessary or sufficient features)... (read more)

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