Boltzmann machine

Results: 164



#Item
21Artificial neural networks / Statistics / Applied mathematics / Machine learning / Multinomial logistic regression / Restricted Boltzmann machine / Boltzmann machine / Latent Dirichlet allocation / Logistic function / Multimodal learning / Deep learning

Modeling Documents with a Deep Boltzmann Machine Nitish Srivastava Ruslan Salakhutdinov Geoffrey Hinton

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Source URL: www.cs.toronto.edu

Language: English - Date: 2015-07-13 11:35:04
22Artificial neural networks / Restricted Boltzmann machine / Boltzmann machine / Autoencoder / Backpropagation / Feedforward neural network / Generative model / Connectionism / Supervised learning / Graphical model / Machine learning / Hidden Markov model

Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013

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Source URL: www.cs.toronto.edu

Language: English - Date: 2015-07-13 11:50:55
23Artificial neural networks / Machine learning / Artificial intelligence / Applied mathematics / Speech recognition / Boltzmann machine / Recurrent neural network / Multi-task learning / Deep belief network / Backpropagation / Acoustic model / Language model

REGULARIZATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS WITH CONTEXT-INDEPENDENT MULTI-TASK TRAINING Peter Bell and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK ABST

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2015-09-29 11:06:25
24Artificial neural networks / Neuroscience / Applied mathematics / Cybernetics / Autoencoder / Hebbian theory / Feature learning / Deep learning / Restricted Boltzmann machine / Unsupervised learning / Biological neural network / Backpropagation

Real-time Hebbian Learning from Autoencoder Features for Control Tasks To appear in: Proc. of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14). Cambridge, MA: MIT Press

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Source URL: eplex.cs.ucf.edu

Language: English - Date: 2014-06-04 09:58:39
25Artificial neural networks / Cognitive science / Machine learning / Academia / Computational neuroscience / Cybernetics / Geoffrey Hinton / Boltzmann machine / Deep learning / Speech recognition / Artificial intelligence / Helmholtz machine

Curriculum Vitae Geoffrey E. Hinton July 14, 2015 Citizenship: Canadian (also British) Address:

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Source URL: www.cs.toronto.edu

Language: English - Date: 2015-07-14 07:43:54
26Artificial intelligence / Artificial neural networks / Machine learning / Statistics / Learning / Computational neuroscience / Restricted Boltzmann machine / Computational statistics / Boltzmann machine / Gesture recognition / K-nearest neighbors algorithm / Pattern recognition

Static Gesture Recognition with Restricted Boltzmann Machines Peter O’Donovan Department of Computer Science, University of Toronto 6 Kings College Rd, M5S 3G4, Canada

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Source URL: www.dgp.toronto.edu

Language: English - Date: 2008-12-12 12:05:33
27

The Shape Boltzmann Machine: a Strong Model of Object Shape S. M. Ali Eslami School of Informatics University of Edinburgh† Nicolas Heess

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Source URL: arkitus.com

Language: English - Date: 2016-01-08 16:44:38
    28Artificial neural networks / Applied mathematics / Cybernetics / Learning / Backpropagation / Restricted Boltzmann machine / Autoencoder / Recurrent neural network / Boltzmann machine / Perceptron / Supervised learning / Deep learning

    PDF Document

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    Source URL: www.neurotheory.columbia.edu

    Language: English
    29Machine learning / Econometrics / M-estimators / Regression analysis / Mixture model / Maximum likelihood / Boltzmann machine / Expectation–maximization algorithm / Vector quantization / Statistics / Estimation theory / Statistical theory

    Parametric Herding Yutian Chen Max Welling Bren School of Information and Computer Science University of California, Irvine

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    Source URL: www.ics.uci.edu

    Language: English - Date: 2010-03-16 13:28:39
    30Science / Boltzmann machine / Speech recognition / Backpropagation / Hidden Markov model / Feedforward neural network / Pattern recognition / Markov chain / DBN / Neural networks / Statistics / Machine learning

    Deep Belief Networks for phone recognition Abdel-rahman Mohamed, George Dahl, and Geoffrey Hinton Department of Computer Science University of Toronto {asamir,gdahl,hinton}@cs.toronto.edu

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    Source URL: www.cs.utoronto.ca

    Language: English - Date: 2009-11-25 20:25:23
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