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Statistics / Boltzmann machine / Perceptron / Backpropagation / Activation function / Logistic function / Neural networks / Cybernetics / Mathematics


On the Representational Efficiency of Restricted Boltzmann Machines James Martens∗ ∗ Arkadev Chattopadhyay+
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Document Date: 2014-11-25 16:06:54


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Company

Thresholded Networks / Deep Belief Networks / Neural Information Processing Systems / Google / /

Country

India / /

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Facility

University of Toronto / Computer Science Tata Institute of Fundamental Research / Building Blocks / Computer Science University of Toronto / /

IndustryTerm

threshold network / hidden layer threshold network / energy function / free energy function / free energy / inner product / free-energy / negative free energy function / threshold networks / hidden layer threshold networks / belief networks / computing / negative energy / contrastive backpropagation networks / layer networks / energy / /

Organization

Toniann Pitassi∗ Richard Zemel∗ School of Technology / Department of Computer Science / Technology & Computer Science Tata Institute of Fundamental Research / Arkadev Chattopadhyay+ Department / University of Toronto / /

Person

Bernd Sturmfels / Georg Schnitger / Iain Murray / Yoav Freund / Ruslan Salakhutdinov / Philip Long / Geoffrey E. Hinton / Nihat Ay / Max Welling / Eduardo D. Sontag / Yee Whye Teh / Sam Roweis / Kevin Swersky / Yichuan Tang / Aaron Courville / Geoffrey Hinton / Rocco Servedio / David Haussler / James Bergstra / Nicolas Le Roux / Benjamin M. Marlin / Yoshua Bengio / Saburo Muroga / Maria Anglica Cueto / Jason Morton / Wolfgang Maass / Simon Osindero / Guido Montufar / Ilya Sutskever / Arkadev Chattopadhyay / Toniann Pitassi∗ Richard Zemel / /

Position

mp / pre-training feed-forward / standard feed-forward / /

ProgrammingLanguage

C / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Theory of Computing / /

Technology

neural network / machine learning / simulation / /

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