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Statistical learning theory
Results: 800

#	Item
731	The Journal of Neuroscience, January 14, 2004 • 24(2):447– 461 • 447 Behavioral/Systems/Cognitive Dynamic Analysis of Learning in Behavioral Experiments Anne C. Smith,1,2 Loren M. Frank,1,2 Sylvia Wirth,3 Marianna Add to Reading List Source URL: web.mit.edu Language: English - Date: 2013-06-13 13:47:44 Signal processing Image processing Data analysis Time series analysis Normal distribution Expectation–maximization algorithm Algorithm Estimation theory Binomial probability Statistics Science Statistical inference
732	SUPERVISED DICTIONARY LEARNING By Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:33:16 Statistical theory Statistical models Linear classifier Fisher kernel Discriminative model Supervised learning Maximum likelihood Generative model Dimensional analysis Statistics Machine learning Statistical classification
733	Support Vector Machine[removed] Add to Reading List Source URL: chasen.org Language: English - Date: 2002-01-12 17:35:12 Statistical classification Learning Support vector machine Chunking Computational learning theory Machine learning Statistics Memory
734	Learning a Theory of Causality Noah D. Goodman, Tomer D. Ullman, Joshua B. Tenenbaum {ndg, tomeru, jbt}@mit.edu Add to Reading List Source URL: stanford.edu Language: English - Date: 2010-06-24 21:48:37 Causality Statistical models Scientific modeling Conditionals Concept learning Bayesian network Causal model Epistemology Abstract object Science Philosophy of science Ethology
735	Developmental Science 10:[removed]), pp 281– 287 DOI: [removed]j[removed]00584.x Add to Reading List Source URL: web.mit.edu Language: English - Date: 2007-04-04 13:20:07 Philosophy of science Statistical models Statistical theory Causality Conditionals Bayesian network Bayesian inference Graphical model Concept learning Statistics Bayesian statistics Science
736	Supervised learning for computer vision: Theory and algorithms - Part I Francis Bach1 & Jean-Yves Audibert2,1 Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 18:22:01 Supervised learning Empirical risk minimization Support vector machine PP Statistical classification Function Pattern recognition Linear classifier Statistics Machine learning Mathematics
737	F4: Large-Scale Automated Forecasting Using Fractals Deepayan Chakrabarti Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-12-16 14:21:02 Machine learning Fractals Chaos theory Time series analysis Statistical forecasting Nearest neighbor search Fractal dimension Forecasting Regression analysis Mathematics Statistics Algebra
738	Bandits for Taxonomies: A Model-based Approach Sandeep Pandey Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-18 12:51:31 Statistical inference Shrinkage estimator Least squares Machine learning Estimator Reinforcement learning Mean squared error Sampling Multi-armed bandit Statistics Estimation theory Statistical theory
739	The True Sample Complexity of Active Learning Maria-Florina Balcan Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-07-13 19:45:55 Computational learning theory Applied mathematics Dimension Statistical classification VC dimension Big O notation Algorithm Mathematics Machine learning Statistics
740	The True Sample Complexity of Active Learning⋆ Maria-Florina Balcan1 , Steve Hanneke2 , and Jennifer Wortman Vaughan3⋆⋆ 1 Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2010-02-27 23:58:39 Theoretical computer science Statistics Mathematics Learning Statistical classification VC dimension Algorithm Machine learning Computational learning theory Applied mathematics

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