Statistical learning theory - PDFSEARCH.IO - Document Search Engine

Statistical learning theory
Results: 800

#	Item
651	Review of Le ture 6 • The VC Inequality • mH(N ) is polynomial Add to Reading List Source URL: www.amlbook.com Language: English VC dimension Differentiation rules Mathematics Mathematical sciences Mechanical engineering Applied mathematics Computational learning theory Dimension Statistical classification
652	The Power of Localization for Efficiently Learning Linear Separators with Noise Pranjal Awasthi [removed] Maria Florina Balcan Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-02-04 22:35:39 Statistics Artificial intelligence Statistical classification Learning Supervised learning Information theory Linear classifier Computational learning theory PP Machine learning Applied mathematics Cybernetics
653	A fast and simple algorithm for training neural probabilistic language models Andriy Mnih Gatsby Computational Neuroscience Unit, University College London Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:52 Artificial intelligence Computational neuroscience Machine learning Statistical natural language processing Estimation theory N-gram Language model Speech recognition Perplexity Science Computational linguistics Statistics
654	Deep Mixtures of Factor Analysers Yichuan Tang [removed] Ruslan Salakhutdinov [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:54 Machine learning Data analysis Multivariate statistics Expectation–maximization algorithm Mixture model Principal component analysis Maximum likelihood Independent component analysis Supervised learning Statistics Statistical models Estimation theory
655	Near-Optimal BRL using Optimistic Local Transitions Mauricio Araya-L´ opez, Vincent Thomas, Olivier Buffet maraya\|vthomas\|[removed] LORIA, Campus scientifique, BP 239, 54506 Vandœuvre-ls-Nancy cedex, FRANCE Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:58 Stochastic control Bayesian statistics Statistical theory Markov decision process Reinforcement learning Bayesian inference Machine learning Q-learning Statistics Dynamic programming Markov processes
656	Learning Bounds for Importance Weighting Corinna Cortes Google Research New York, NY 10011 Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2010-10-26 07:29:20 Functions and mappings Normal distribution Uniform convergence Kullback–Leibler divergence Divergence Integral Importance sampling Statistics Mathematics Statistical theory
657	Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty Shie Mannor Department of Electrical Engineering, Technion, Israel Ofir Mebel Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:52 Mathematical optimization Robust optimization Markov decision process Reinforcement learning Control theory Parameter Uncertainty Robust control Scattering parameters Statistics Stochastic control Statistical theory
658	A New Approach of Genetic-based EM Algorithm for Mixture Models Sachith Abeysundara, Byungtae Seo (Department of Mathematics & Statistics) Abstract Simulation Results Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 16:34:29 Statistical models Expectation–maximization algorithm Missing data Bayesian statistics Mixture model Genetic algorithm Maximum likelihood Mixture distribution Algorithm Statistics Estimation theory Machine learning
659	Modeling Latent Variable Uncertainty for Loss-based Learning M. Pawan Kumar [removed] ´ Center for Visual Computing, Ecole Centrale Paris, France Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:58 Estimation theory Expectation–maximization algorithm Maximum likelihood Latent variable model Loss function Latent variable Kullback–Leibler divergence Statistics Statistical models Statistical theory
660	Statistical linear estimation with penalized estimators: an application to reinforcement learning ´ Bernardo Avila Pires Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:34 Decision theory Econometrics Loss function Maximum spacing estimation Statistics Statistical theory Estimation theory

UPDATE