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Geoffrey Hinton
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#	Item
71	Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style Graham W. Taylor GWTAYLOR @ CS . TORONTO . EDU Geoffrey E. Hinton Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:00 Probability and statistics Neural networks Machine learning Boltzmann machine Generative model Graphical model Hidden Markov model Bayesian network Ludwig Boltzmann Statistical models Statistics Bayesian statistics
72	Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure Ruslan Salakhutdinov and Geoffrey Hinton Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2007-03-17 14:55:15 Neural networks Data analysis Statistical classification Support vector machine Supervised learning K-nearest neighbor algorithm Dimension reduction Pattern recognition Degrees of freedom Statistics Machine learning Multivariate statistics
73	1 Why equivariance is better than premature invariance Geoffrey Hinton Canadian Institute for Advanced Research Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-12-21 11:43:49 Cognitive science Computational neuroscience Econometrics Network architecture Networks Neural network Mental representation Philosophy of mind Perception Mind
74	SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-03-01 16:37:24 Science Artificial neural network Boltzmann machine Recurrent neural network Feedforward neural network Backpropagation Speech recognition Hidden Markov model Early stopping Neural networks Machine learning Cybernetics
75	UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING Abdel-rahman Mohamed, Geoffrey Hinton, and Gerald Penn Department of Computer Science, University of Toronto ABSTRACT Deep Belief Networks (DBNs) are a ve Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 19:52:25 Applied mathematics Speech recognition Mel-frequency cepstrum Supervised learning Feedforward neural network Backpropagation Discrete cosine transform Neural networks Cybernetics Science
76	Curriculum Vitae Geoffrey E. Hinton January 8, 2014 Citizenship: Canadian (also British) Address: Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-01-08 21:25:49 Cybernetics Artificial intelligence Learning Geoffrey Hinton Boltzmann machine Unsupervised learning Artificial neural network Hinton Conference on Neural Information Processing Systems Neural networks Machine learning Computational neuroscience
77	ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky Ilya Sutskever Geoffrey Hinton University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-10-19 10:59:44 Mathematics Electronics Econometrics Network architecture Networks Filter Linear Feedforward neural network Types of artificial neural networks Neural networks Computational neuroscience Cybernetics
78	UCL Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-07-18 13:52:46 Cybernetics Perceptron Nonlinear dimensionality reduction Backpropagation Statistical classification Generative model Types of artificial neural networks Feedforward neural network Neural networks Statistics Machine learning
79	A Better Way to Pretrain Deep Boltzmann Machines Geoffrey Hinton Department of Computer Science University of Toronto [removed] Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-30 16:52:13 Measurement Boltzmann machine Computational neuroscience Technology DBm Decibel Ludwig Boltzmann Neural networks Units of measure Science
80	SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-08-05 12:39:24 Neuroscience Long short term memory Recurrent neural network Backpropagation through time Speech recognition Backpropagation Types of artificial neural networks Neural networks Cybernetics Science