Probabilistic data modelling with adaptive TAP mean-field theory

We demonstrate for the case of single-layer neural networks how an extension of the TAP mean-field approach of disorder physics can be applied to the computation of approximate averages in probabilistic models for real data.

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Year of publication:	2001
Authors:	Opper, Manfred ; Winther, Ole
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 302.2001, 1, p. 119-125
Publisher:	Elsevier
Subject:	Probabilistic data modelling \| TAP mean-field theory \| Cavity method

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010871824