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Boltzmann machine
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#	Item
101	arXiv:1302.4389v3 [stat.ML] 20 Feb[removed]Maxout Networks Ian J. Goodfellow [removed] David Warde-Farley Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-02-21 20:08:04 Learning Multilayer perceptron Boltzmann machine Perceptron Generalization error Neural networks Cybernetics Statistics
102	Curriculum Vitae Greg Mori Associate Professor School of Computing Science 8888 University Drive Burnaby, BC V5A 1S6, Canada Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2014-04-14 18:23:31 Neural networks European Conference on Computer Vision Activity recognition International Conference on Computer Vision Institute of Electrical and Electronics Engineers IEEE Transactions on Pattern Analysis and Machine Intelligence Boltzmann machine Speech recognition Conference on Computer Vision and Pattern Recognition Artificial intelligence Science Knowledge
103	INVESTIGATION OF MAXOUT NETWORKS FOR SPEECH RECOGNITION Pawel Swietojanski∗ Jinyu Li, Jui-Ting Huang Centre for Speech Technology Research Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-05 18:27:07 Neuroscience Autoencoder Speech recognition Boltzmann machine Activation function Sigmoid function Connectionism Types of artificial neural networks Neural networks Cybernetics Science
104	Journal of Machine Learning Research[removed]1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-07-26 23:05:09 Learning Artificial intelligence Early stopping Backpropagation Supervised learning Regularization Overfitting Boltzmann machine Generalization error Neural networks Machine learning Statistics
105	Modeling Documents with a Deep Boltzmann Machine Nitish Srivastava Ruslan Salakhutdinov Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-07-18 13:58:53 Computational linguistics Statistical natural language processing Natural language processing Boltzmann machine Latent Dirichlet allocation Perplexity Maximum likelihood N-gram Neural networks Science Statistics
106	NEURAL NETWORKS FOR DISTANT SPEECH RECOGNITION Steve Renals and Pawel Swietojanski Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK {s.renals,p.swietojanski}@ed.ac.uk ABSTRACT Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-05 18:27:07 Automatic identification and data capture Computer accessibility Speech recognition Microphone array Beamforming Boltzmann machine Cybernetics Humanâ€“computer interaction Neural networks Computational neuroscience Science
107	FEATURE ENGINEERING IN CONTEXT-DEPENDENT DEEP NEURAL NETWORKS FOR CONVERSATIONAL SPEECH TRANSCRIPTION Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-07-09 06:16:45 Statistics Speech recognition Hidden Markov model Artificial neural network Perceptron Backpropagation Boltzmann machine Multilayer perceptron Generalized method of moments Neural networks Machine learning Cybernetics
108	6. Restricted Boltzmann Machines University of Cambridge Engineering Part IIB Module 4F10: Statistical Pattern Processing Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-10-28 05:59:05 Maximum likelihood Likelihood function Dimensional analysis Boltzmann machine Completeness Estimation theory Statistical theory Statistics
109	The Shape-Time Random Field for Semantic Video Labeling Andrew Kae, Benjamin Marlin, Erik Learned-Miller School of Computer Science University of Massachusetts, Amherst MA, USA {akae,marlin,elm}@cs.umass.edu Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2014-05-13 10:40:23 Statistical models Probability and statistics Conditional random field Theoretical computer science Boltzmann machine Applied mathematics Generative model Ludwig Boltzmann Segmentation Machine learning Graphical models Statistics
110	Learning Hierarchical Representations for Face Verification with Convolutional Deep Belief Networks Gary B. Huang University of Massachusetts Amherst, MA Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2012-04-13 12:38:11 Mind Vision Semi-supervised learning Feature Recall Visual descriptors Supervised learning Boltzmann machine Statistical classification Machine learning Computer vision Artificial intelligence

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