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Expectation–maximization algorithm
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#	Item
551	Efficient Inference Through Cascades of Weighted Tree Transducers Jonathan May and Kevin Knight Information Sciences Institute University of Southern California Marina del Rey, CA 90292 {jonmay,knight}@isi.edu Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-07-05 10:42:37 Statistics Automata theory Finite state transducer Symbol Expectation–maximization algorithm String Model theory Lp space Structure Mathematics Formal languages Mathematical analysis
552	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: www.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
553	Domain Adaptation in Statistical Machine Translation with Mixture Modelling ∗ Jorge Civera and Alfons Juan Universidad Polit´ecnica de Valencia Camino de Vera s/n[removed]Valencia, Spain Add to Reading List Source URL: www.statmt.org Language: English - Date: 2007-05-18 09:56:03 Probability and statistics Statistical machine translation Statistical natural language processing Mixture model Expectation–maximization algorithm Bitext word alignment Statistics Machine translation Machine learning
554	Linear mixed models and penalized least squares Douglas M. Bates Department of Statistics, University of Wisconsin–Madison Saikat DebRoy Add to Reading List Source URL: www.stat.wisc.edu Language: English - Date: 2003-09-25 14:15:15 Maximum likelihood Expectation–maximization algorithm Normal distribution Fisher information Statistics Estimation theory Symbol
555	Package ‘GPvam’ July 2, 2014 Type Package Title Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling Version 3.0-2 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:50:53 Analysis of variance Statistical methods M-estimators Expectation–maximization algorithm Generalized linear mixed model Mixed model Maximum likelihood Statistics Regression analysis Estimation theory
556	Bayesian Nonparametric Matrix Factorization for Recorded Music Matthew D. Hoffman MDHOFFMA @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU Add to Reading List Source URL: soundlab.cs.princeton.edu Language: English - Date: 2010-06-13 18:06:27 Estimation theory Statistical inference Multivariate statistics Non-negative matrix factorization Expectation–maximization algorithm Likelihood function Sufficient statistic Gamma distribution Exponential family Statistics Statistical theory Bayesian statistics
557	Using Word Dependent Transition Models in HMM based Word Alignment for Statistical Machine Translation Xiaodong He Microsoft Research One Microsoft Way Redmond, WA[removed]USA Add to Reading List Source URL: www.statmt.org Language: English - Date: 2007-05-18 09:55:53 Machine learning Probability and statistics Bioinformatics Hidden Markov model Estimation theory Statistical machine translation Markov chain Speech recognition Expectation–maximization algorithm Statistics Markov models Statistical natural language processing
558	Derivation of an EM algorithm for constrained and unconstrained multivariate autoregressive state-space (MARSS) models Elizabeth Eli Holmes∗ March 19, 2014 Abstract Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:00:15 Expectation–maximization algorithm Maximum likelihood Multivariate normal distribution Normal distribution Matrix calculus Differential equation Kalman filter Heat equation M-estimator Statistics Mathematics Estimation theory
559	E. E. Holmes, E. J. Ward, and M. D. Scheuerell Analysis of multivariate timeseries using the MARSS package version 3.9 March 19, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:00:15 Model selection Bootstrapping Data analysis Expectation–maximization algorithm Akaike information criterion Statistics Statistical inference Estimation theory
560	Journal of Educational Measurement Winter 2006, Vol. 43, No. 4, pp. 335–353 Modeling Randomness in Judging Rating Scales with a Random-Effects Rating Scale Model Wen-Chung Wang Add to Reading List Source URL: gse.berkeley.edu Language: English - Date: 2014-10-30 20:16:41 Statistical models Statistical theory Item response theory Statistical inference Polytomous Rasch model Rasch model Expectation–maximization algorithm Maximum likelihood Likelihood-ratio test Statistics Estimation theory Psychometrics

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