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Artificial intelligence / Autoencoder / Boltzmann machine / DBm / Geoffrey Hinton / Deep learning / Neural networks / Machine learning / Science


Deep Boltzmann Machines as Feed-Forward Hierarchies Gr´ egoire Montavon Machine Learning Group TU Berlin
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Document Date: 2012-02-14 06:18:21

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Company

Neural Information Processing Systems / Neural Networks / Monte Carlo / /

Facility

University of Toronto / Tilburg University / /

IndustryTerm

energy landscape / iterative algorithm / deep networks / deep belief network / feed-forward processing / physical systems / learning algorithm / energy / /

MarketIndex

set 13230 / /

NaturalFeature

Canary Islands / /

Organization

US Federal Reserve / Tilburg University / National Academy of Sciences / University of Toronto / /

Person

Vincent Lemaire / Ruslan R. Salakhutdinov / Samy Bengio / Graham Taylor / Geoffrey E. Hinton / Bernhard Sch / Pascal Vincent / John J. Hopfield / Terrence J. Sejnowski / Hierarchies Gr / David W. Aha / Aaron Courville / Gideon Dror / Dan Popovici / Joachim Buhmann / Alexander Smola / Isabelle Guyon / Pascal Lamblin / Hugo Larochelle / Dumitru Erhan / David H. Ackley / Pierre-Antoine Manzagol / Yoshua Bengio / Radford M. Neal / Yee-Whye Teh / Simon Osindero / Hierarchies Handwritten / /

Position

Feed-Forward / representation and feature extractor / /

PublishedMedium

Proceedings of the National Academy of Sciences / Machine Learning / Journal of Machine Learning Research / /

Technology

learning algorithm / neural network / artificial intelligence / training algorithm / iterative algorithm / Machine Learning / /

URL

www.ldc.upenn.edu/Catalog/LDC93S1.html / /

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