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Statistical learning theory
Results: 800

#	Item
641	PHYSICAL REVIEW SPECIAL TOPICS - PHYSICS EDUCATION RESEARCH 4, 010102 共2008兲 Measuring student learning with item response theory Young-Jin Lee, David J. Palazzo, Rasil Warnakulasooriya, and David E. Pritchard Depar Add to Reading List Source URL: www.masteringphysics.com Language: English - Date: 2014-08-13 08:36:32 Psychometrics Educational psychology Statistical models Item response theory Standardized tests Standards-based education Test Recall Tutor Education Knowledge Mind
642	Active Learning for Hidden Markov Models: Objective Functions and Algorithms Brigham Anderson Andrew Moore Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:33 Probability and statistics Markov models Information theory Estimation theory Philosophy of thermal and statistical physics Entropy Kullback–Leibler divergence Hidden Markov model Loss function Statistics Statistical theory Software
643	Efficient discriminative learning of Bayesian network classifier via Boosted Augmented Naive Bayes Yushi Jing College of Computing, Georgia Institute of Technology, Atlanta, GA[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:42 Statistical classification Statistical models Naive Bayes classifier Ensemble learning Bayesian inference Bayesian network Computational learning theory Averaged one-dependence estimators AdaBoost Statistics Bayesian statistics Machine learning
644	Learning Class-Discriminative Dynamic Bayesian Networks John Burge Terran Lane Department of Computer Science, University of New Mexico Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:43 Statistical models Statistical classification Graphical models Bayesian network Maximum likelihood Naive Bayes classifier Speech recognition Kullback–Leibler divergence Bayesian inference Statistics Bayesian statistics Statistical theory
645	The True Sample Complexity of Active Learning⋆ Maria-Florina Balcan1 , Steve Hanneke2 , and Jennifer Wortman Vaughan3⋆⋆ 1 3 Add to Reading List Source URL: www.cs.cmu.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
646	————————————————————————————————————— Learning From Data Caltech http://work.caltech.edu/telecourse Self-paced version ————————— Add to Reading List Source URL: work.caltech.edu Language: English - Date: 2013-06-11 20:22:50 Operator theory Mathematical analysis Mathematics Ordinary differential equations Regression analysis Statistical classification Support vector machine Spectral theory
647	Discovering Geographical Topics In The Twitter Stream ∗ Liangjie Hong †, Amr Ahmed §, Siva Gurumurthy ¶, Alex Smola §, Kostas Tsioutsiouliklis ¶ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-02-27 20:26:16 Statistical natural language processing Estimation theory Statistical models Cluster analysis Machine learning Mixture model Twitter Topic model Maximum likelihood Statistics Probability and statistics Probability
648	Bayesian Inference for Finite-State Transducers∗ David Chiang1 Jonathan Graehl1 Kevin Knight1 Add to Reading List Source URL: aclweb.org Language: English - Date: 2010-06-14 21:27:14 Statistical inference Statistical theory Machine learning Expectation–maximization algorithm Gibbs sampling Hidden Markov model Bayesian inference Variational Bayesian methods Pattern recognition Statistics Bayesian statistics Estimation theory
649	Unified Analysis of Streaming News Amr Ahmed, Qirong Ho Jacob Eisenstein, Eric P. Xing Carnegie Mellon University Pittsburgh, PA 15213, USA {amahmed,qho+,jacobeis,epxing}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-04-01 23:46:01 Dynamic topic model Natural language processing Information retrieval Latent Dirichlet allocation Estimation theory Topic model Mixture model Dirichlet process Cluster analysis Statistics Statistical natural language processing Machine learning
650	JMLR: Workshop and Conference Proceedings vol[removed]–22 Distributed Learning, Communication Complexity and Privacy Maria-Florina Balcan∗ Add to Reading List Source URL: www.cs.cmu.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

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