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Statistical learning theory
Results: 800

#	Item
171	Machine Learning A Probabilistic Perspective Kevin P. Murphy The MIT Press Cambridge, Massachusetts Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2012-05-23 01:35:40 Machine learning Learning Artificial intelligence Cognition Pattern recognition Supervised learning Statistical classification Multi-label classification Statistical learning theory Semi-supervised learning
172	Online Robust Dictionary Learning Cewu Lu Jianping Shi Jiaya Jia The Chinese University of Hong Kong {cwlu,jpshi,leojia}@cse.cuhk.edu.hk Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2013-04-16 04:36:34 Statistics Robust statistics Machine learning Statistical theory Regression analysis Estimation theory Sparse dictionary learning Outlier Random sample consensus Iteratively reweighted least squares K-SVD Sparse approximation
173	VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms Add to Reading List Source URL: bigdata.cs.brown.edu Language: English - Date: 2015-08-10 21:05:34
174	Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction Saurabh Verma Baranas Hindu University, India Add to Reading List Source URL: rtw.ml.cmu.edu Language: English - Date: 2012-10-01 12:24:52 Statistical theory Bayesian statistics Estimation theory Statistical inference Statistical models
175	Discrete Mixtures Models Stephane Hess, ETHZ Michel Bierlaire, EPFL John W. Polak, Imperial College Conference paper STRC 2006 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-28 02:03:58 Statistics Statistical models Estimation theory Bayesian statistics Machine learning Regression analysis Discrete choice Choice modelling Probability distribution Mixture model Likelihood function Stochastic process
176	Noise-Tolerant Learning, the Parity Problem, and the Statistical Query Model AVRIM BLUM, ADAM KALAI, AND HAL WASSERMAN Carnegie Mellon University, Pittsburgh, Pennsylvania Abstract. We describe a slightly subexponential Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-03-02 19:24:24 Computational learning theory Machine learning Artificial intelligence Learning Probability distribution Theoretical computer science Probably approximately correct learning Statistical classification Error Tolerance Supervised learning
177	Alexander (Sasha) Rakhlin Department of Statistics, The Wharton School, University of Pennsylvania 465 Jon M. Huntsman Hall, Philadelphia, PAEmail: rakhlin at wharton.upenn.edu ACADEMIC APPOINTMENTS - Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-02-29 18:39:41 Machine learning Learning Cognition Neuroscience Cognitive science Computational neuroscience Stability Conference on Neural Information Processing Systems Empirical risk minimization Learning theory Statistical learning theory Game theory
178	Statistical Learning Theory in Reinforcement Learning & Approximate Dynamic Programming A. Lazaric & M. Ghavamzadeh (INRIA Lille – Team SequeL) ICML 2012 INRIA Lille – Team SequeL Add to Reading List Source URL: chercheurs.lille.inria.fr Language: English - Date: 2012-06-25 05:06:50
179	Statistical Machine Learning UoC Stats 37700, Winter quarter Lecture 5: statistical learning theory II: Vapnik-Chervonenkis theory. Add to Reading List Source URL: users.math.uni-potsdam.de Language: English
180	Parametric Herding Yutian Chen Max Welling Bren School of Information and Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2010-03-16 13:28:39 Machine learning Econometrics M-estimators Regression analysis Mixture model Maximum likelihood Boltzmann machine Expectation–maximization algorithm Vector quantization Statistics Estimation theory Statistical theory

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