Geoffrey Hinton - PDFSEARCH.IO - Document Search Engine

Geoffrey Hinton
Results: 92

#	Item
51	T RAINING R ECURRENT N EURAL N ETWORKS by Ilya Sutskever Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2013-01-10 22:14:39 Science Boltzmann machine Recurrent neural network Artificial neural network Geoffrey Hinton Autoencoder Feedforward neural network Conference on Neural Information Processing Systems Backpropagation Neural networks Machine learning Cybernetics
52	JOURNAL OF PAMI, VOL. ?, NO. ?, JANUARY 20?? 1 Modeling Natural Images Using Gated MRFs Marc’Aurelio Ranzato, Volodymyr Mnih, Joshua M. Susskind, Geoffrey E. Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-01-16 10:45:22 Psychometrics Multivariate statistics Machine learning Generative model Latent variable Principal component analysis Mixture model Normal distribution Multivariate normal distribution Statistics Statistical models Data analysis
53	GRAHAM TAYLOR Thornbrough Building, Room 2413 School of Engineering University of Guelph Guelph, Ontario, N1G 2W1 Canada Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-31 01:46:05 Neural networks Computational neuroscience Yann LeCun Conference on Neural Information Processing Systems Geoffrey Hinton Boltzmann machine Unsupervised learning Institute of Electrical and Electronics Engineers Artificial intelligence Science Machine learning
54	Deep Learning for NLP (without Magic) References Richard Socher,* Yoshua Bengio,† and Christopher Manning* Department of Computer Science, Stanford University † Department of computer science and operations research Add to Reading List Source URL: nlp.stanford.edu Language: English* - Date: 2014-11-21 16:07:55 Computational linguistics Computational neuroscience Neuroscience Neural networks Conference on Neural Information Processing Systems International Conference on Machine Learning Unsupervised learning Association for Computational Linguistics Geoffrey Hinton Artificial intelligence Science Machine learning
55	A fast learning algorithm for deep belief nets ∗ Geoffrey E. Hinton and Simon Osindero Yee-Whye Teh Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-10-31 15:01:14 Boltzmann machine Backpropagation Generative model Artificial neuron Independent component analysis Diffusion networks Gibbs sampling Pattern recognition Expectation–maximization algorithm Neural networks Statistics Machine learning
56	Mach Learn DOIs10994Visualizing non-metric similarities in multiple maps Laurens van der Maaten · Geoffrey Hinton Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-04-12 20:13:26 Psychometrics Market research Multidimensional scaling Semantic similarity Similarity Visualization Statistics Multivariate statistics Science
57	Semantic Hashing Ruslan Salakhutdinov Geoffrey Hinton Department of Computer Science Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2009-09-11 22:42:22 Natural language processing Statistical natural language processing Tf*idf Latent semantic analysis Document-term matrix Search engine indexing Probabilistic latent semantic analysis Latent Dirichlet allocation Hash function Information science Information retrieval Science
58	CSC321: 2011 Introduction to Neural Networks and Machine Learning Lecture 5: Distributed Representations Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-01-15 14:53:36 Neuroscience Nervous system Neural networks Neuron Computational neuroscience Mind Biology
59	NEWS FEATURE THE LEARNING MACHINES Using massive amounts of data to recognize photos and speech, deep-learning computers are taking a big step towards true artificial intelligence. Add to Reading List Source URL: www.nvidia.com Language: English - Date: 2014-05-14 13:43:44 Machine learning Neural networks Econometrics Network architecture Networks Yann LeCun Speech recognition Geoffrey Hinton Brain Science Computational neuroscience Artificial intelligence
60	1 Deep Neural Networks for Acoustic Modeling in Speech Recognition Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, an Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2012-10-26 02:52:04 Hidden Markov model Artificial neural network Boltzmann machine Generative model Feedforward neural network Speech recognition Backpropagation Expectation–maximization algorithm Latent variable Statistics Neural networks Machine learning