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Boltzmann machine
Results: 164

#	Item
51	Multimodal Deep Learning Jiquan Ngiam1 Aditya Khosla1 Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:53:10 Multimodal interaction Cognition Neural networks Learning Machine learning Speech recognition Modality Boltzmann machine Deep learning Humanâ€“computer interaction Education Perception
52	Structured Recurrent Temporal Restricted Boltzmann Machines Roni Mittelman† RMITTELM @ UMICH . EDU Benjamin Kuipers† KUIPERS @ UMICH . EDU Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2014-05-27 22:26:28 Hidden Markov model Ludwig Boltzmann Science Academia Physics Boltzmann machine Partition function Model theory
53	Generating Text with Recurrent Neural Networks Ilya Sutskever James Martens Geoffrey Hinton University of Toronto, 6 King’s College Rd., Toronto, ON M5S 3G4 CANADA Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2011-05-11 22:05:53 Science Recurrent neural network PAQ Feedforward neural network Boltzmann machine Backpropagation through time Backpropagation Types of artificial neural networks Long short term memory Neural networks Cybernetics Neuroscience
54	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:25 Markov chain Monte Carlo Markov models Markov processes Bayesian statistics Markov chain Gibbs sampling Boltzmann machine Generative model Graphical model Statistics Statistical models Probability and statistics
55	Deep Learning for Time Series Modeling CS 229 Final Project Report Enzo Busseti, Ian Osband, Scott Wong December 14th, Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2013-01-09 22:36:01 Statistics Recurrent neural network Generalization error Forecasting Backpropagation Boltzmann machine Types of artificial neural networks Artificial neural network Neural networks Machine learning Cybernetics
56	Adaptive dropout for training deep neural networks Lei Jimmy Ba Brendan Frey Department of Electrical and Computer Engineering University of Toronto jimmy, Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:08:01 Artificial intelligence Computational neuroscience Computational statistics Autoencoder Artificial neural network Supervised learning Unsupervised learning Boltzmann machine Backpropagation Neural networks Machine learning Statistics
57	Multi-source Deep Learning for Human Pose Estimation Wanli Ouyang Xiao Chu Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong , Abstract Add to Reading List Source URL: www.ee.cuhk.edu.hk Language: English - Date: 2014-06-20 01:45:24 Learning Mixture model Pose Unsupervised learning Pattern recognition Neural network Boltzmann machine Regularization Machine learning Artificial intelligence Statistics
58	METHODS ARTICLE published: 20 August 2014 doi: fninsDeep learning for neuroimaging: a validation study Sergey M. Plis 1, Devon R. Hjelm 2 , Ruslan Salakhutdinov 3 , Elena A. Allen 1,4 , Henry J. Bock Add to Reading List Source URL: www.cs.toronto.edu Language: English* - Date: 2014-09-17 22:48:19 Magnetic resonance imaging Boltzmann machine Functional magnetic resonance imaging Magnetoencephalography Nonlinear dimensionality reduction Independent component analysis Statistics Multivariate statistics Neuroimaging
59	Learning Generative Models with Visual Attention Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto, Ontario, Canada Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-20 13:56:05 Machine learning Statistical models Graphical models Bayesian statistics Networks Boltzmann machine Generative model Bayesian inference Bayesian network Statistics Probability and statistics Probability
60	B ETHE F REE E NERGY AND C ONTRASTIVE D IVERGENCE A PPROXIMATIONS FOR U NDIRECTED G RAPHICAL M ODELS by Yee Whye Teh Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-06-29 13:51:00 Statistical models Probability theory Bayesian statistics Condensed matter physics Belief propagation Independent component analysis Hans Bethe Boltzmann machine Bethe ansatz Statistics Probability and statistics Graphical models

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