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Type: Conference paper
Title: Combining dimensions and features in similarity-based representations
Author: Navarro, D.
Lee, M.
Citation: Advances in neural information processing systems 15: proceedings of the 2002 conference / Suzanna Becker, Sebastian Thrun and Klaus Obermayer (eds.): pp.67-74
Publisher: MIT Press
Publisher Place: United States
Issue Date: 2003
ISBN: 0262025507
ISSN: 1049-5258
Conference Name: Neural Information Processing Systems. Conference (16th : 2002 : British Columbia)
Statement of
Daniel J. Navarro; Michael D. Lee
Abstract: This paper develops a new representational model of similarity data that combines continuous dimensions with discrete features. An algorithm capable of learning these representations is described, and a Bayesian model selection approach for choosing the appropriate number of dimensions and features is developed. The approach is demonstrated on a classic data set that considers the similarities between the numbers 0 through 9.
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Appears in Collections:Aurora harvest 2
Environment Institute publications
Psychology publications

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