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Expectation–maximization algorithm
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#	Item
681	MEARS et al.: DISTRIBUTION FIELDS WITH ADAPTIVE KERNELS 1 Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2014-06-19 14:41:10 Exponentials Mathematical analysis Computer vision Machine learning Expectation–maximization algorithm Normal distribution Gaussian function Statistics Mathematics
682	What to Do about Missing Values in Time-Series Cross-Section Data James Honaker The Pennsylvania State University Gary King Harvard University Applications of modern methods for analyzing data with missing values, based Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2012-12-14 14:17:16 Estimation theory Econometrics Imputation Regression analysis Listwise deletion Bootstrapping Prior probability Expectation–maximization algorithm Linear regression Statistics Data analysis Missing data
683	Package ‘HTSCluster’ August 26, 2014 Type Package Title Clustering high throughput sequencing (HTS) data Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-26 12:12:19 Cluster analysis Estimation theory Machine learning Expectation–maximization algorithm Mixture model K-means clustering Generalized linear model Parameter Poisson regression Statistics Statistical models Regression analysis
684	Support Vector Machines as Probabilistic Models Vojtˇ ech Franc [removed] Czech Technical University in Prague, Technick´a 2, [removed]Praha 6, Czech Republic Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:34 Support vector machine Forcing Expectation–maximization algorithm Continuous function Statistics Mathematics Statistical classification
685	FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters Bettina Gru ¨n Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 11:27:12 Estimation theory Statistical models Categorical data Expectation–maximization algorithm Mixture model Mixture distribution Maximum likelihood Linear regression Logistic regression Statistics Regression analysis Econometrics
686	POSTECH_KLE_proceeding.dvi Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-02-02 07:25:27 Natural language processing Estimation theory Markov models Information retrieval Language model Kullback–Leibler divergence Expectation–maximization algorithm Maximum likelihood Relevance Statistics Science Statistical theory
687	Hierarchical Probabilistic Models for Group Anomaly Detection Liang Xiong Machine Learning Department, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-25 14:19:00 Maximum likelihood Expectation–maximization algorithm Anomaly detection Likelihood function Normal distribution Anomaly Latent Dirichlet allocation Outlier Poisson distribution Statistics Estimation theory Mixture model
688	J. R. Statist. Soc. B[removed], Part 2, pp. 235–251 Ascent-based Monte Carlo expectation– maximization Brian S. Caffo, Add to Reading List Source URL: www.math.mtu.edu Language: English - Date: 2005-09-05 18:13:36 Estimation theory Monte Carlo methods Statistical mechanics Markov chain Normal distribution Expectation–maximization algorithm Marginal likelihood Statistics Probability and statistics Markov models
689	Package ‘mclust’ September 16, 2014 Version 4.4 Date[removed]Author Chris Fraley, Adrian Raftery and Luca Scrucca Title Normal Mixture Modeling for Model-Based Clustering,Classification, and Density Estimation Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-16 05:58:04 Mixture model Expectation–maximization algorithm Bayesian information criterion Multivariate statistics Density estimation Regularization Statistics Machine learning Statistical classification
690	Package ‘EBMAforecast’ July 2, 2014 Type Package Title Ensemble BMA Forecasting Version 0.42 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:43:13 Actuarial science Statistical forecasting Econometrics Ensemble forecasting Generalized linear model Calibration Logistic regression Mixture model Expectation–maximization algorithm Statistics Regression analysis Statistical models

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