Griffiths, Thomas L., Canini, Kevin R., Sanborn, Adam N. and Navarro, Daniel J. (2009) Unifying rational models of categorization via the hierarchical Dirichlet process. In: Proceedings of the 29th Annual Conference of the Cognitive Science Society. Mahwah, N.J.: Lawrence Erlbaum, p. 323. ISBN 9781605605074

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Abstract

Models of categorization make different representational assumptions, with categories being represented by prototypes, sets of exemplars, and everything in between. Rational models of categorization justify these representational assumptions in terms of different schemes for estimating probability distributions. However, they do not answer the question of which scheme should be used in representing a given category. We show that existing rational models of categorization are special cases of a statistical model called the hierarchical Dirichlet
process, which can be used to automatically infer a representation of the appropriate complexity for a given category.

Item Type:	Book Item
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Divisions:	Faculty of Science, Engineering and Medicine > Science > Psychology
Publisher:	Lawrence Erlbaum
Place of Publication:	Mahwah, N.J.
ISBN:	9781605605074
Book Title:	Proceedings of the 29th Annual Conference of the Cognitive Science Society
Official Date:	2009
Dates:	Date Event 2009 Published
Page Range:	p. 323
Status:	Peer Reviewed
Date of first compliant deposit:	7 April 2017
Conference Paper Type:	Paper
Title of Event:	CogSci 2007: The 29th Annual Conference of the Cognitive Science Society
Type of Event:	Conference
Location of Event:	Nashville, USA
Date(s) of Event:	1-4 Aug 2007

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