Adelaide Research & Scholarship
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https://hdl.handle.net/2440/40432
| 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 9780262025508 |
| ISSN: | 1049-5258 |
| Conference Name: | Neural Information Processing Systems. Conference (16th : 2002 : British Columbia) |
| Statement of Responsibility: | 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. |
| Description (link): | http://books.nips.cc/nips15.html |
| Published version: | http://papers.nips.cc/paper/2249-combining-dimensions-and-features-in-similarity-based-representations |
| Appears in Collections: | Aurora harvest 2 Environment Institute publications Psychology publications |
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