Restricted Boltzmann machine - PDFSEARCH.IO - Document Search Engine

Restricted Boltzmann machine
Results: 40

#	Item
11	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function
12	arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-10-19 21:37:55 Artificial neural networks Cybernetics Applied mathematics Machine learning Recurrent neural network Deep learning Long short-term memory Feedforward neural network Convolutional neural network Backpropagation Connectionism Restricted Boltzmann machine
13	arXiv:1509.01053v1 [cs.LG] 3 SepTraining a Restricted Boltzmann Machine for classification by labeling model samples Malte Probst, Franz Rothlauf Technical Report Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-09-03 20:36:41
14	arXiv:1402.3337v2 [stat.ML] 10 NovZero-bias autoencoders and the benefits of co-adapting features Roland Memisevic Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-11 20:54:00 Artificial neural networks Machine learning Learning Artificial intelligence Unsupervised learning Autoencoder Computational neuroscience Computational statistics Feature learning Rectifier Restricted Boltzmann machine Supervised learning
15	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: 2015-07-13 11:35:04 Artificial neural networks Statistics Applied mathematics Machine learning Multinomial logistic regression Restricted Boltzmann machine Boltzmann machine Latent Dirichlet allocation Logistic function Multimodal learning Deep learning
16	Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 11:50:55 Artificial neural networks Restricted Boltzmann machine Boltzmann machine Autoencoder Backpropagation Feedforward neural network Generative model Connectionism Supervised learning Graphical model Machine learning Hidden Markov model
17	Real-time Hebbian Learning from Autoencoder Features for Control Tasks To appear in: Proc. of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14). Cambridge, MA: MIT Press Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2014-06-04 09:58:39 Artificial neural networks Neuroscience Applied mathematics Cybernetics Autoencoder Hebbian theory Feature learning Deep learning Restricted Boltzmann machine Unsupervised learning Biological neural network Backpropagation
18	Static Gesture Recognition with Restricted Boltzmann Machines Peter O’Donovan Department of Computer Science, University of Toronto 6 Kings College Rd, M5S 3G4, Canada Add to Reading List Source URL: www.dgp.toronto.edu Language: English - Date: 2008-12-12 12:05:33 Artificial intelligence Artificial neural networks Machine learning Statistics Learning Computational neuroscience Restricted Boltzmann machine Computational statistics Boltzmann machine Gesture recognition K-nearest neighbors algorithm Pattern recognition
19	PDF Document Add to Reading List Source URL: www.neurotheory.columbia.edu Language: English Artificial neural networks Applied mathematics Cybernetics Learning Backpropagation Restricted Boltzmann machine Autoencoder Recurrent neural network Boltzmann machine Perceptron Supervised learning Deep learning
20	Cardinality Restricted Boltzmann Machines Kevin Swersky Daniel Tarlow Ilya Sutskever Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:29:25 Networks Mathematics Applied mathematics Computational neuroscience Boltzmann machine Belief propagation Bayesian network Machine learning Sparse matrix Neural networks Statistics Graphical models