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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2965

Title: Bayes-optimal performance in a discrete space
Authors: VAN DEN BROECK, Christian
Copelli, M
Opper, M
Issue Date: 1999
Publisher: IOP PUBLISHING LTD
Citation: JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 32(50). p. L555-L560
Abstract: We study a simple model of unsupervised learning where the single symmetry breaking vector has binary components +/-1. We calculate exactly the Bayes-optimal performance of an estimator which is required to lie in the same discrete space. We also show that, except for very special cases, such an estimator cannot be obtained by minimization of a class of variationally optimal potentials.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Aston Univ, Neural Comp Res Grp, Birmingham B4 7ET, W Midlands, England.Copelli, M, Limburgs Univ Ctr, Univ Campus, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/2965
ISI #: 000084444100004
ISSN: 0305-4470
Type: Journal Contribution
Validation: ecoom, 2001
Appears in Collections: Research publications

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