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Geoffrey Hinton
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81	Transforming Auto-encoders G. E. Hinton, A. Krizhevsky & S. D. Wang Department of Computer Science, University of Toronto {geoffrey.hinton, akrizhevsky, sidawang88}@gmail.com Abstract. The artificial neural networks tha Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-04-26 20:45:30 Cybernetics Science Computational statistics Autoencoder Artificial neural network Capsule Matrix decoder Supervised learning Feedforward neural network Neural networks Computational neuroscience Mathematics
82	Mach Learn DOI[removed]s10994[removed]Visualizing non-metric similarities in multiple maps Laurens van der Maaten · Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-12-20 13:14:59 Psychometrics Market research Multidimensional scaling Semantic similarity Similarity Visualization Statistics Multivariate statistics Science
83	U NIVERSITY OF T ORONTO , D EPARTMENT OF C OMPUTER S CIENCE 6 King’s College Rd. LP283 Toronto, M5S 3G4 CANADA • Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-10-06 19:03:47 Machine learning Neural networks Computational neuroscience Multivariate statistics Cybernetics Conference on Neural Information Processing Systems Geoffrey Hinton Dimension reduction Nonlinear dimensionality reduction Artificial intelligence Statistics Neuroscience
84	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
85	Training Products of Experts by Minimizing Contrastive Divergence Geoffrey E. Hinton presented by Yuxiong Wang[removed] Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-21 13:47:39 Mixture model Product of Experts Probability distribution Gaussian function Maximum likelihood Statistics Machine learning Probability and statistics
86	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: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-28 11:21:25 Neuroscience Long short term memory Recurrent neural network Backpropagation through time Speech recognition Backpropagation Types of artificial neural networks Neural networks Cybernetics Science
87	A Learning Algorithm for Boltzmann Machines Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 15:31:40 Boltzmann machine Cybernetics Neuroscience Connectionism Geoffrey Hinton Mathematical optimization Types of artificial neural networks Hopfield network Neural networks Computational neuroscience Science
88	Authors: Max Welling, Michal Rosen-Zvi, Geoffrey Hinton Presented by: Ankur Gandhe 1  Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-14 13:59:32 Latent variable Graphical model Probabilistic latent semantic analysis Hidden variable Mixture model Statistics Statistical models Boltzmann machine
89	LETTER Communicated by Yann Le Cun A Fast Learning Algorithm for Deep Belief Nets Geoffrey E. Hinton Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-16 13:22:12 Probability and statistics Statistical models Bayesian statistics Computational neuroscience Boltzmann machine Backpropagation Graphical model Generative model Gibbs sampling Statistics Neural networks Machine learning
90	The wake-sleep algorithm for unsupervised neural networks Geoffrey E Hinton Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2000-07-31 03:29:42 Learning Wake-sleep algorithm Helmholtz machine Supervised learning Artificial neural network Backpropagation Pattern recognition Competitive learning Generative model Neural networks Statistics Cybernetics

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