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Statistical learning theory
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#	Item
201	Foundation of Intelligent Systems, Part I Statistical Learning Theory Kyoto University - SML Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2011-05-30 20:57:57
202	Foundation of Intelligent Systems, Part I Statistical Learning Theory (III) FIS Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2013-05-20 23:28:26
203	Foundation of Intelligent Systems, Part I Statistical Learning Theory (II) FIS Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2013-05-13 23:55:40
204	doi:j.tics Add to Reading List Source URL: www.psych.nyu.edu Language: English - Date: 2008-08-19 12:21:48 Decision theory Cognition Framing Statistical theory Motor skills Motor learning Risk Uncertainty Prospect theory Statistics Knowledge Mind
205	Learning to imitate stochastic time series in a compositional way by chaos Accepted in Neural Networks Jun Namikawa Add to Reading List Source URL: www.tech.plym.ac.uk Language: English - Date: 2011-03-23 09:51:20 Markov models Estimation theory Kullback–Leibler divergence Thermodynamics Recurrent neural network Long short term memory Hidden Markov model Maximum likelihood Markov chain Statistics Neural networks Statistical theory
206	Introduction Method Experiments Conclusions Exploiting Information Theory for Filtering the Add to Reading List Source URL: www.rvg.ua.es Language: English - Date: 2007-06-21 16:57:24 Estimation theory Statistical inference Signal processing Bayesian spam filtering Kadir–Brady saliency detector One-shot learning Statistics Computer vision Image processing
207	VISI561_source.nohead.pdf Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2013-11-07 07:12:56 Statistical theory Structured SVM Support vector machine Function Supervised learning Linear classifier Loss function Statistics Statistical classification Machine learning
208	Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex Erie D. Boorman1,2, Timothy E. Behrens1,2, Matthew F. Rushworth1,2 1 Department of Experimental Psychology, University Add to Reading List Source URL: econ.as.nyu.edu Language: English* - Date: 2012-02-03 15:58:19 Decision theory Philosophy of science Statistical inference Psychometrics Evaluation methods Causality Statistical hypothesis testing Combination Decision making Science Information Statistics
209	CS229 Lecture notes Andrew Ng Part VI Regularization and model Add to Reading List Source URL: see.stanford.edu Language: English - Date: 2007-12-11 16:41:19 Estimation theory Model selection Information theory Maximum likelihood Supervised learning Feature selection Kullback–Leibler divergence Regularization Mutual information Statistics Statistical theory Machine learning
210	A reinforcement learning approach to variational inference in probabilistic programs David Wingate MIT February 21, 2012 Abstract Add to Reading List Source URL: econ.as.nyu.edu Language: English - Date: 2012-02-13 13:12:15 Probability and statistics Bayesian networks Graphical models Statistical theory Statistics Bayesian statistics Reinforcement learning

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