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Statistical learning theory
Results: 800

#	Item
41	Learning Continuous-Time Social Network Dynamics Yu Fan University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Statistics Estimation theory Markov models Statistical theory Statistical models Regression analysis Bayesian network Gibbs sampling Markov chain Expectationmaximization algorithm Parameter Mathematical model
42	DEPARTMENT OF MATHEMATICS TECHNICAL REPORT Generalized Correlated Cross-Validation (GCCV) Patrick S. Carmack November 2011 Add to Reading List Source URL: uca.edu Language: English - Date: 2011-11-16 11:21:11 Statistics Probability Mathematical analysis Estimation theory Probability distributions Stable distributions Statistical theory Machine learning Maximum likelihood estimation Covariance Multivariate normal distribution Normal distribution
43	A Bayesian Framework for Learning Words From Multiword Utterances Stephan C. Meylan () Thomas L. Griffiths (tom ) Department of Psychology, University of California, Berkeley, CA Add to Reading List Source URL: www.socsci.uci.edu Language: English - Date: 2015-09-17 16:09:29 Statistics Statistical theory Linguistics Language acquisition Estimation theory Lexis Psychology Vocabulary development Bayesian inference Vocabulary Bayesian network Language
44	Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2012-04-19 16:26:14 Statistics Statistical theory Probability Bayesian statistics Dynamic programming Markov processes Stochastic control Markov decision process Reinforcement learning Q-learning Prior probability Conjugate prior
45	doi:j.ecolmodel Add to Reading List Source URL: www.lmcarrascal.eu Language: English - Date: 2011-03-04 09:47:48 Statistics Regression analysis Ecology Estimation theory Business intelligence Statistical models Predictive modelling Linear regression Decision tree learning Prediction Species distribution Bird atlas
46	CS 3750 Machine Learning Latent variable models Variational approximations. Milos Hauskrecht Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:58:54 Statistics Statistical theory Probability distributions Estimation theory Expectationmaximization algorithm Missing data Normal distribution Likelihood-ratio test Variational Bayesian methods KullbackLeibler divergence
47	Journal of Machine Learning ResearchSubmitted 11/14; Revised 3/15; Published 3/16 Should We Really Use Post-Hoc Tests Based on Mean-Ranks? Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-03-12 08:43:31 Statistical theory Statistics Statistical inference Hypothesis testing Statistical tests Multiple comparisons Nonparametric statistics Design of experiments Multiple comparisons problem Post hoc analysis Sign test Friedman test
48	Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation Hamid R. Maei University of Alberta Edmonton, AB, Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2010-03-02 00:09:06 Mathematical analysis Statistical theory Smooth functions Loss function Sine Distribution Bearing pressure
49	2016 Qualifying Examination Topics and Points Summary List B1 Teachers Add to Reading List Source URL: tigpbp.iis.sinica.edu.tw Language: English - Date: 2016-01-30 04:12:17 Statistics Formal sciences Statistical inference Information Knowledge Machine learning Estimation theory Regression analysis Nonparametric statistics Data mining Statistical classification Resampling

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