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Expectation–maximization algorithm
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151	LNCSNon-rigid Object Segmentation Using Robust Active Shape Models Add to Reading List Source URL: vislab.isr.ist.utl.pt Language: English - Date: 2014-07-31 18:02:13 Estimation theory M-estimators Regression analysis Segmentation Expectation–maximization algorithm Active appearance model Least squares Active shape model RANSAC Statistics Robust statistics Computer vision
152	Review of Three Latent Class Cluster Analysis Packages: Latent GOLD, poLCA, and MCLUST Dominique HAUGHTON, Pascal LEGRAND, and Sam WOOLFORD McCutcheonBecause LCA is based upon a statistical model, maximum likeli Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-03-11 13:58:29 Categorical data Multivariate statistics Latent class model Psychometrics Expectation–maximization algorithm Bayesian information criterion K-means clustering Computer cluster Mixture model Statistics Cluster analysis Machine learning
153	PDF Document Add to Reading List Source URL: library.utia.cas.cz Language: English - Date: 2012-11-05 03:22:31 Normal distribution Statistical models Statistical theory Expectation–maximization algorithm Mixture model Multivariate normal distribution Likelihood function Mammography Statistics Estimation theory Bayesian statistics
154	Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc. Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2011-07-14 22:39:13 Estimation theory Expectation–maximization algorithm Missing data Markov models Lateen Word-sense disambiguation Natural language processing EM Part-of-speech tagging Linguistics Statistics Computational linguistics
155	Shape Constraints in Empirical Bayes Inference Mu Lin1 and Ivan Mizera1,2,3 of Mathematical and Statistical Sciences University of Alberta, Edmonton, Alberta, Canada T6G 2G1 2 Corresponding author: Ivan Mizera, e-mail: i Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Maximum likelihood Bayes estimator Expectation–maximization algorithm Mixture model Normal distribution Quasiconvex function Estimator Statistics Estimation theory Empirical Bayes method
156	nips2007draft_6_submission_cmyk Add to Reading List Source URL: media.nips.cc Language: English - Date: 2007-12-03 00:27:56 Graphical model Supervised learning Expectation–maximization algorithm Bayes factor Cluster analysis Statistical classification Unsupervised learning Mixture model Kernel methods Statistics Machine learning Bayesian inference
157	Journal of Machine Learning Research1928 Submitted 5/10; Revised 1/14; Published 6/14 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-07-08 13:46:46 Missing data Regression analysis Data analysis Expectation–maximization algorithm Normal distribution Multivariate normal distribution Maximum likelihood Linear regression Imputation Statistics Estimation theory Econometrics
158	In C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger (Eds.), Advances in Neural Information Processing System 26, (NIPS-2013), , 2013. TECHNICAL REPORT R-410 December 2013 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2014-05-06 16:08:23 Bayesian network Networks Schedule Variable FO Expectation–maximization algorithm Polynomial Statistics Mathematics Elementary mathematics
159	Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction VALENTIN I. S PITKOVSKY, H IYAN A LSHAWI AND Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2011-07-27 06:39:55 Lateen Expectation–maximization algorithm Sail EM Watercraft Statistics Transport Water
160	Parsing Time: Learning to Interpret Time Expressions Gabor Angeli Stanford University Stanford, CA 94305 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2012-04-26 17:59:00 Applied mathematics Parsing Normal distribution Expectation–maximization algorithm Stochastic context-free grammar Maximum likelihood Temporal expressions Formal grammar Regular expression Formal languages Statistics Mathematics

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