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Expectation–maximization algorithm
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141	Journal of Artificial Intelligence Research203 Submitted 11/12; publishedA Survey on Latent Tree Models and Applications Rapha¨ Add to Reading List Source URL: jair.org Language: English - Date: 2013-05-31 00:53:01 Latent variable Expectation–maximization algorithm Latent class model Bayesian network Graphical model Mixture model Marginal likelihood Statistics Statistical models Bayesian statistics
142	SYSTEM PARAMETER ESTIMATION IN TOMOGRAPHIC INVERSE PROBLEMS A.ALESSIO AND K.SAUER Department of Electrical Engineering Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2005-11-10 13:24:10 Regression analysis Statistical theory Bayesian statistics Expectation–maximization algorithm Maximum likelihood Least squares Likelihood function Robust optimization Linear least squares Statistics Estimation theory Mathematical optimization
143	PDF Document Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-01-24 10:25:02 Markov processes Categorical data Econometrics Latent class model Expectation–maximization algorithm Hidden Markov model Markov chain Latent variable Markov property Statistics Markov models Statistical models
144	PDF Document Add to Reading List Source URL: www.mth.kcl.ac.uk Language: English - Date: 2014-10-17 06:59:26 Machine learning Statistical theory Cross-validation Model selection Expectation–maximization algorithm Maximum likelihood Naive Bayes classifier Validation Linear discriminant analysis Statistics Estimation theory Statistical classification
145	PDF Document Add to Reading List Source URL: grids.ucs.indiana.edu Language: English - Date: 2011-12-02 18:22:43 Data analysis Data mining Geostatistics Machine learning Expectation–maximization algorithm Simulated annealing Annealing Statistics Multivariate statistics Cluster analysis
146	PDF Document Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:29:24 Machine learning Estimation theory Statistical theory Expectation–maximization algorithm Bayesian network Gibbs sampling Perceptron Kullback–Leibler divergence Mixture model Statistics Statistical models Neural networks
147	Latent Class Models in Longitudinal Research Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Bac Tran U.S. Census Bureau Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-01-22 12:06:02 Markov processes Categorical data Econometrics Latent class model Latent variable Expectation–maximization algorithm Hidden Markov model Markov chain Mixture model Statistics Statistical models Markov models
148	A ROBUST ACTIVE SHAPE MODEL USING AN EXPECTATION-MAXIMIZATION FRAMEWORK Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques Institute for Systems and Robotics, Instituto Superior T´ecnico, Lisbon, Portugal ABSTRACT Add to Reading List Source URL: vislab.isr.ist.utl.pt Language: English - Date: 2014-07-31 18:08:02 Robust statistics Statistical theory Image processing Active shape model Expectation–maximization algorithm Outlier Active appearance model Segmentation Maximum likelihood Statistics Computer vision Estimation theory
149	IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 23, NO. 12, DECEMBERInformation Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM Add to Reading List Source URL: vislab.isr.ist.utl.pt Language: English - Date: 2015-05-07 08:24:52 Probability and statistics Operations research Estimation theory Expectation–maximization algorithm Missing data Markov chain Mathematical optimization Gradient descent Matrix Statistics Markov models Applied mathematics
150	Latent Class (Finite Mixture) Segments How to find them and what to do with them Jay Magidson Statistical Innovations Inc. Belmont, MA USA www.statisticalinnovations.com Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2010-07-29 08:39:16 Local independence Latent variable Mixture model Expectation–maximization algorithm Statistics Statistical models Latent class model

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