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Networks / Mathematics / Applied mathematics / Computational neuroscience / Boltzmann machine / Belief propagation / Bayesian network / Machine learning / Sparse matrix / Neural networks / Statistics / Graphical models


Cardinality Restricted Boltzmann Machines Kevin Swersky Daniel Tarlow Ilya Sutskever
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Document Date: 2014-11-26 14:29:25


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City

Montreal / /

Company

Neural Information Processing Systems / Neural Networks / MIT Press / /

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Facility

A. Diwan / Statistics‡ University of Toronto / University of Toronto / Computer Science University of Toronto / /

IndustryTerm

grid search / energy function / random search / Information processing / deep belief networks / inference algorithm / learning systems / sum-product algorithm / deep belief network / dynamic programming algorithm / energy-based models / backpropagation algorithm / dynamical systems / learning algorithm / learning algorithms / energy / /

NaturalFeature

Boltzmann forest / Restricted Boltzmann Forest / /

Organization

Ryan P. Adams School of Eng / Harvard University / Department of Computer Science / MIT / University of Toronto / /

Person

Ruslan Salakhutdinov / Richard S. Zemel / Daniel Tarlow Ilya Sutskever / /

Position

feed-forward / Sparse deep belief net model for visual area V2 / deterministic feed-forward / /

Product

CaRBM / SpRBM / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / The Journal of Machine Learning Research / /

Technology

Neuroscience / speech recognition / sum-product algorithm / neural network / inference algorithm / dynamic programming algorithm / messagepassing algorithm / Machine Learning / backpropagation algorithm / CD-1 algorithm / trained using the CD-1 algorithm / /

URL

http /

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