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Expectation–maximization algorithm
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#	Item
751	Naive Bayes Models for Probability Estimation Daniel Lowd LOWD @ CS . WASHINGTON . EDU Pedro Domingos PEDROD @ CS . WASHINGTON . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:48 Probability theory Statistical models Networks Bayesian network Gibbs sampling Naive Bayes classifier Markov random field Expectation–maximization algorithm Belief propagation Statistics Bayesian statistics Graphical models
752	Shift Finding in Sub-linear Time Alexandr Andoni MSR SVC Haitham Hassanieh MIT Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-10-02 16:15:45 Probability and statistics Probabilistic complexity theory Euclidean algorithm Expectation–maximization algorithm Statistics Mathematics Normal distribution
753	MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification Jun Zhu†∗ [removed] Amr Ahmed† [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-07 15:41:06 Estimation theory Latent Dirichlet allocation Topic model Expectation–maximization algorithm Support vector machine Variational Bayesian methods Linear discriminant analysis Errors-in-variables models Dynamic topic model Statistics Statistical natural language processing Statistical classification
754	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
755	Minimized Models for Unsupervised Part-of-Speech Tagging Sujith Ravi and Kevin Knight University of Southern California Information Sciences Institute Marina del Rey, California 90292 {sravi,knight}@isi.edu Add to Reading List Source URL: aclweb.org Language: English - Date: 2010-06-15 03:30:42 Corpus linguistics Natural language processing Speech recognition Markov models Part-of-speech tagging Expectation–maximization algorithm N-gram Treebank Tag Linguistics Science Computational linguistics
756	On Tight Approximate Inference of the Logistic-Normal Topic Admixture Model Amr Ahmed School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-04-20 09:22:03 Statistical natural language processing Deduction Latent Dirichlet allocation Expectation–maximization algorithm Variational message passing Normal distribution Mixture model Entailment Symbol Statistics Mathematics Logic
757	POSTECH at TREC 2010 Blog Track: Top Stories Identification Yeha Lee, Woosang Song, Hun-young Jung, Vinh Tao Thanh, and Jong-Hyeok Lee Division of Electrical and Computer Engineering Pohang University of Science and Tech Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2011-03-01 11:17:06 Natural language processing Information retrieval Kullback–Leibler divergence Language model Blog Expectation–maximization algorithm Citizen journalism Maximum likelihood Statistics Statistical theory Estimation theory
758	Unsupervised Evidence Integration Philip M. Long Vinay Varadan Sarah Gilman Mark Treshock Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:16 Statistical dependence Graphical models Expectation–maximization algorithm Missing data Conditional independence Variance Independence Algorithm Maximum likelihood Statistics Probability theory Estimation theory
759	Microsoft Word - TR #004.doc Add to Reading List Source URL: edocs.nps.edu Language: English - Date: 2004-05-04 12:10:14 Likelihood function Fisher information Gamma distribution Confidence interval Weibull distribution Expectation–maximization algorithm Likelihood principle Statistics Estimation theory Maximum likelihood
760	C ONTRIBUTED RESEARCH ARTICLE 1 Rankcluster: An R Package for Clustering Multivariate Partial Rankings Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-03-05 14:20:03 Multivariate statistics Data mining Geostatistics Expectation–maximization algorithm Mixture model Bayesian information criterion Consensus clustering Statistics Machine learning Cluster analysis

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