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Statistical learning theory
Results: 800

#	Item
61	Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-14 15:37:03 Statistics Probability theory Graphical models Machine learning Statistical models Statistical theory Bayesian statistics Markov random field Latent variable Expectationmaximization algorithm Marginal likelihood Conditional random field
62	Big DataConference Program Monday, August 22 9:00-9:50am Yiling Chen, Harvard University Title: “Machine Learning with Strategic Data Sources” Add to Reading List Source URL: cmsa.fas.harvard.edu Language: English - Date: 2016-08-03 13:09:29 Statistics Statistical theory Bayesian statistics Bayesian inference Prior probability Robust Bayesian analysis Artificial neural network Deep learning Variational Bayesian methods Machine learning Naive Bayes classifier Bayesian network
63	Exploiting Social Context for Review Quality Prediction Yue Lu∗ Panayiotis Tsaparas Alexandros Ntoulas Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2011-11-03 14:00:14 Statistics Machine learning Reputation management Statistical theory Learning Regression analysis Estimation theory Manifold regularization Support vector machine Linear regression Semi-supervised learning PageRank
64	A BAYESIAN A PPROACH TO M ULTIAGENT R EINFORCEMENT L EARNING AND C OALITION F ORMATION UNDER U NCERTAINTY by Georgios Chalkiadakis Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2007-11-09 12:26:29 Game theory Statistics Science Systems science Mathematical economics Systems theory Statistical inference Reinforcement learning Non-cooperative game theory Agent-based model Core Cooperative game theory
65	Journal of Quantitative Analysis in Sports Volume 7, Issue Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-07-26 14:51:16 Statistics Statistical theory Probability Statistical models Probability distributions Bayesian statistics Machine learning Normal distribution Prior probability Random effects model Bayesian inference Conjugate prior
66	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Learning-Based Modular Indirect Adaptive Control for a Class of Nonlinear Systems Benosman, M.; Farahmand, A.-M. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-08-02 12:27:17 Control theory Statistics Signal processing Time series analysis Statistical inference Cybernetics Adaptive control Nonlinear control Systems theory Systems science Autoregressive conditional heteroskedasticity Estimation theory
67	A Short Introduction to Probabilistic Soft Logic Angelika Kimmig1,2 , Stephen H. Bach1 , Matthias Broecheler3 , Bert Huang1 , Lise Getoor1 1 University of Maryland, 2 KU Leuven, 3 Aurelius LLC Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:51 Logic Philosophy Bayesian statistics Markov networks Model theory Reasoning Semantics Probabilistic soft logic Markov logic network Probabilistic logic Statistical relational learning Logical truth
68	Microsoft Word - Learning Today Computer Adaptive Tests Write-UP 10_5_07.doc Add to Reading List Source URL: 279ned3oehk639cz1w7z8rs887.wpengine.netdna-cdn.com Language: English - Date: 2012-05-30 16:56:56 Education Psychometrics Educational psychology Standardized tests Statistical models Computer-based testing Item response theory Rasch model Computerized adaptive testing STAR Test Multistage testing
69	Bias in Natural Actor-Critic Algorithms Philip S. Thomas Department of Computer Science, University of Massachusetts, Amherst, MAUSA Add to Reading List Source URL: psthomas.com Language: English - Date: 2012-10-01 18:27:53 Statistics Statistical theory Estimation theory Dynamic programming Markov decision process Stochastic control Bias of an estimator Reinforcement learning Loss function Fisher information
70	REVlEW The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning Yaser S. Abu-Mostafa California Institute of Terhnohgy, Pasadcna, CAUSA Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2012-12-26 05:25:09 Computational learning theory Machine learning Learning Mathematics Cognition Statistical classification Empirical process VC dimension Probability distribution Artificial neural network NIP Uniform convergence

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