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Statistical theory / Neural networks / Statistical models / Boltzmann machine / Bayesian statistics / Markov chain / Maximum likelihood / Generative model / Ludwig Boltzmann / Statistics / Estimation theory / Probability and statistics


ARTICLE Communicated by Yoshua Bengio An Efficient Learning Procedure for Deep Boltzmann Machines
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Document Date: 2012-09-17 19:59:36

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File Size: 1,33 MB

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City

Courville / /

Company

Netflix / Monte Carlo / /

Country

Jordan / /

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Facility

University of Toronto / Massachusetts Institute of Technology / /

IndustryTerm

deep feedforward neural networks / multilayer network / energy landscape / persistent chain / stochastic approximation algorithms / stochastic approximation algorithm / initialized networks / multimodal energy landscape / feedforward networks / energy surface / learning algorithm / energy / /

Organization

University of Toronto / Toronto / Department of Computer Science / Department of Statistics / Massachusetts Institute of Technology / /

Person

Geoffrey Hinton / /

Position

good model / the chains mixed extremely slowly / General / /

ProvinceOrState

Massachusetts / Ontario / /

Technology

2012 Massachusetts Institute of Technology / Stochastic Approximation Algorithm / stochastic approximation algorithms / Machine Learning / DBMs / G. Hinton Algorithm / /

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