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Statistical learning theory
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#	Item
771	Regularized Least Squares and Support Vector Machines Lorenzo Rosasco Add to Reading List Source URL: www.mit.edu Language: English - Date: 2012-02-27 13:26:12 Positive-definite kernel Reproducing kernel Hilbert space Support vector machines Learning Mathematics Hilbert space Statistical classification Operator theory
772	THE UNIVERSAL DISTRIBUTION AND MACHINE LEARNING Ray J. Solomonoff Add to Reading List Source URL: world.std.com Language: English - Date: 2006-01-23 17:41:07 Statistics Statistical inference Probability interpretations Algorithmic information theory Cybernetics Ray Solomonoff Algorithmic probability Inductive inference Kolmogorov complexity Science Artificial intelligence Knowledge
773	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 3, Add to Reading List Source URL: www.lx.it.pt Language: English - Date: 2010-07-24 14:00:58 Machine learning Multivariate statistics Information theory Expectation–maximization algorithm Mixture model Maximum likelihood Mixture distribution K-means clustering Kullback–Leibler divergence Statistics Estimation theory Statistical theory
774	Statistical machine translation: foundations and recent advances Add to Reading List Source URL: www.mt-archive.info Language: English - Date: 2008-07-16 08:23:46 Natural language processing Computational linguistics Statistical natural language processing Statistical theory Machine learning Statistical machine translation N-gram Speech recognition Example-based machine translation Science Statistics Machine translation
775	Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2006-05-16 12:30:10 Statistical theory Machine learning Markov models Expectation–maximization algorithm Maximum likelihood Hidden Markov model Mixture model Kullback–Leibler divergence Marginal likelihood Statistics Estimation theory Bayesian statistics
776	594 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:55:48 Estimation theory Statistical theory Bayesian statistics One-shot learning Constellation model Mixture model Caltech 101 Expectation–maximization algorithm Bayesian inference Statistics Probability and statistics Machine learning
777	Feature Subset Selection Bias for Classification Learning Surendra K. Singhi Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2006-05-25 02:04:47 Econometrics Statistical inference Data analysis Supervised learning Feature selection Bootstrapping Bias Maximum likelihood Resampling Statistics Estimation theory Statistical theory
778	PDF Document Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-10 20:47:29 Machine learning Reinforcement learning Bayesian inference Q-learning Bayesian network Kullback–Leibler divergence Multi-armed bandit Prior probability Supervised learning Statistics Bayesian statistics Statistical theory
779	PDF Document Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2008-03-06 12:06:06 Estimation theory Econometrics Kullback–Leibler divergence Thermodynamics Loss function Word-sense disambiguation Supervised learning Empirical risk minimization Support vector machine Statistics Statistical theory Machine learning
780	PDF Document Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2012-12-26 05:54:00 Econometrics Statistical models Machine learning Kalman filter Hidden Markov model Expectation–maximization algorithm Maximum likelihood Mixture model Principal component analysis Statistics Estimation theory Markov models

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