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Expectation–maximization algorithm
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#	Item
101	A PAC-Bayesian Approach to Minimum Perplexity Language Modeling Mark Hasegawa-Johnson University of Illinois 405 N. Mathews Ave. Urbana, IL 61801, USA Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:15 Estimation theory Bayesian statistics Multivariate statistics Kullback–Leibler divergence Hidden Markov model Entropy Cluster analysis Expectation–maximization algorithm Cross entropy Statistics Statistical theory Information theory
102	A Generative Model for Rhythms Yves Grandvalet CNRS Add to Reading List Source URL: bengio.abracadoudou.com Language: English - Date: 2007-11-01 18:56:14 Markov models Estimation theory Bioinformatics Hidden Markov model Levenshtein distance Expectation–maximization algorithm Cross-validation Mixture model Statistics Machine learning Dynamic programming
103	Mining Common Topics from Multiple Asynchronous Text Streams ∗ Xiang Wang Kai Zhang Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:06 Time Timestamp Topic model Transmission Control Protocol Expectation–maximization algorithm Latent Dirichlet allocation Stream processing Statistics Statistical natural language processing Machine learning
104	Convex group clustering of large geo-referenced data sets 1 Convex Group Clustering of Large Geo-referenced Data Sets Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2003-06-20 15:59:57 Data mining Geostatistics Machine learning K-means clustering Complete-linkage clustering Hierarchical clustering BIRCH Expectation–maximization algorithm K-medians clustering Statistics Cluster analysis Data analysis
105	Using EM to Learn Motion Behaviors of Persons with Mobile Robots∗ Maren Bennewitz† † Wolfram Burgard† Add to Reading List Source URL: hrl.informatik.uni-freiburg.de Language: English - Date: 2003-12-15 05:10:20 Expectation–maximization algorithm Missing data Robotics Motion planning Likelihood-ratio test Maximum likelihood Statistics Estimation theory Statistical theory
106	Structural Equation Models: Mixture Models Jeroen K. Vermunt Department of Methodology and Statistics Tilburg University Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:16 Mixture model Latent class model Expectation–maximization algorithm Cluster analysis Covariance Linear discriminant analysis Multivariate normal distribution Factor analysis Statistics Multivariate statistics Structural equation modeling
107	Microsoft Word - dellzhang_airs2006.doc Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2007-01-22 02:13:12 Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Naive Bayes classifier Statistics Estimation theory Statistical models
108	Journal of Statistical Software JSS May 2011, Volume 42, Issue 5. Add to Reading List Source URL: imai.princeton.edu Language: English - Date: 2013-02-15 08:55:44 Estimation theory Robust statistics Econometrics Non-parametric statistics Expectation–maximization algorithm Maximum likelihood Regression analysis Statistical power Parametric model Statistics Statistical theory Statistical inference
109	7 MULTILEVEL LATENT CLASS MODELS Jeroen K. Vermunt* The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and nonparametric random-coefficient LC models are pro Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:01 Psychometrics Estimation theory Actuarial science Multilevel model Expectation–maximization algorithm Item response theory Latent class model Non-parametric statistics Normal distribution Statistics Statistical models Econometrics
110	➠ ➡ COARTICULATION MODELING BY EMBEDDING A TARGET-DIRECTED HIDDEN TRAJECTORY MODEL INTO HMM Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:28 Estimation theory Expectation–maximization algorithm Missing data Hidden Markov model Speech recognition Kalman filter Dimensional analysis Statistics Markov models Computational linguistics

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