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Statistical learning theory
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#	Item
741	The Power of Localization for Efficiently Learning Linear Separators with Noise Pranjal Awasthi Add to Reading List Source URL: www.cc.gatech.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
742	JMLR: Workshop and Conference Proceedings vol[removed]–22 Distributed Learning, Communication Complexity and Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2012-06-04 16:01:05 Computational learning theory Statistical classification Machine learning Computational complexity theory Probably approximately correct learning Communication complexity Margin classifier Supervised learning VC dimension Theoretical computer science Statistics Applied mathematics
743	A tutorial introduction to Bayesian models of cognitive development Amy Perfors Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2011-01-12 19:42:05 Philosophy of science Statistical inference Statistical theory Machine learning Bayesian inference Bayesian probability Inference Concept learning Prior probability Statistics Bayesian statistics Science
744	Developmental Science 10:[removed]), pp 288–297 DOI: [removed]j[removed]00590.x BAYESIAN SPECIAL SECTION Add to Reading List Source URL: web.mit.edu Language: English - Date: 2007-04-04 13:18:52 Knowledge Bayesian statistics Statistical inference Statistical theory Inductive reasoning Concept learning Bayesian inference Bayesian probability Causality Statistics Science Philosophy of science
745	How to Grow a Mind: Statistics, Structure, and Abstraction Joshua B. Tenenbaum, et al. Science 331, [removed]); DOI: [removed]science[removed]This copy is for your personal, non-commercial use only. Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-03-10 22:26:46 Ethology Philosophy of science Statistical models Machine learning Statistical theory Concept learning Bayesian inference Bayesian probability Causality Statistics Science Bayesian statistics
746	A Rational Analysis of Rule-based Concept Learning Noah D. Goodman and Joshua B. Tenenbaum Massachusetts Institute of Technology Add to Reading List Source URL: web.mit.edu Language: English - Date: 2007-10-27 13:28:43 Probability and statistics Philosophy of science Machine learning Statistical theory Bayesian probability Concept learning Bayesian inference Prior probability Probability Statistics Bayesian statistics Science
747	Journal of Machine Learning Research[removed]152 Submitted 10/11; Revised 8/12; Published 1/13 Add to Reading List Source URL: www.cs.helsinki.fi Language: English - Date: 2013-02-05 05:47:54 Information theory Communication Randomness Covariance and correlation Statistical theory Cumulant Mutual information Normal distribution Correlation and dependence Statistics Mathematical analysis Probability and statistics
748	Supervised learning for computer vision: Theory and algorithms - Part II Francis Bach1 & Jean-Yves Audibert2,1 1. 2. Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 19:16:28 Support vector machine Kernel methods Binary classification Supervised learning Multiclass classification Regularization Multi-label classification Regression analysis Least squares support vector machine Statistics Machine learning Statistical classification
749	Draft. Int. Journal of Approximate Reasoning[removed]), 319–331 Global Discretization of Continuous Attributes Add to Reading List Source URL: kuscholarworks.ku.edu Language: English - Date: 2011-07-21 16:23:52 Numerical analysis Machine learning Theoretical computer science Statistical theory Control theory Discretization Rough set Entropy Cluster analysis Statistics Mathematics Applied mathematics
750	Linear-time Algorithms for Pairwise Statistical Problems Parikshit Ram Add to Reading List Source URL: www.fast-lab.org Language: English - Date: 2009-09-12 18:13:20 Search algorithms Analysis of algorithms Machine learning Computational complexity theory Numerical analysis K-nearest neighbor algorithm Nearest neighbor search Time complexity Algorithm Theoretical computer science Applied mathematics Mathematics

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