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Expectation–maximization algorithm
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371	Quality Management on Amazon Mechanical Turk Panagiotis G. Ipeirotis [removed] Foster Provost [removed] Add to Reading List Source URL: www.misrc.umn.edu Language: English - Date: 2013-01-15 14:51:27 Statistical inference Expectation–maximization algorithm Missing data Algorithm Prior probability Maximum likelihood Statistics Estimation theory Theoretical computer science
372	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: research.microsoft.com Language: English - Date: 2009-07-21 20:54:01 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
373	44 PROBIT LATENT CLASS ANALYSIS Add to Reading List Source URL: www.john-uebersax.com Language: English - Date: 2009-07-16 17:15:20 Latent class model Latent variable model Item response theory Latent variable Rasch model Expectation–maximization algorithm Polychoric correlation Probit Scale analysis Statistics Statistical models Psychometrics
374	Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning Joseph J. Pfeiffer III Jennifer Neville Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2015-01-17 04:41:12 Statistical inference Econometrics Statistical theory Expectation–maximization algorithm Confidence interval Maximum likelihood Conjugate prior Gibbs sampling Variational Bayesian methods Statistics Bayesian statistics Estimation theory
375	Notes 11 Statistical Machine Learning Probabilistic Learning Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:37 Maximum likelihood Fisher information Normal distribution Multivariate normal distribution Likelihood function Kullback–Leibler divergence Bias of an estimator Support Expectation–maximization algorithm Statistics Estimation theory Statistical theory
376	Elastic Distributed Bayesian Collaborative Filtering Alex Beutel Department of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2014-11-06 12:07:44 Operations research Planning Scheduling Expectation–maximization algorithm Collaborative filtering Sequence container Belief propagation Bayesian inference Apache Hadoop Statistics Bayesian statistics Scheduling algorithms
377	Microsoft Word - figs1.doc Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-10-29 19:13:16 Econometrics Market research Measurement Psephology Statistical hypothesis testing Expectation–maximization algorithm Statistics Statistical inference Confidence interval
378	A Sticky HDP-HMM with Application to Speaker Diarization Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-09-06 16:11:07 Statistical theory Statistical inference Estimation theory Hidden Markov model Dirichlet process Mixture model Expectation–maximization algorithm Dirichlet distribution Chinese restaurant process Statistics Stochastic processes Statistical models
379	On learning parametric-output HMMs Aryeh Kontorovich Department of Computer Science, Ben-Gurion University, Beer Sheva 84105, Israel. Boaz Nadler Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2013-05-03 03:27:42 Hidden Markov model Markov chain Expectation–maximization algorithm Mixture model Normal distribution Baum–Welch algorithm Speech recognition Stochastic matrix Variance Statistics Markov models Probability and statistics
380	JMLR: Workshop and Conference Proceedings vol:1–36, 2012 25th Annual Conference on Learning Theory A Method of Moments for Mixture Models and Hidden Markov Models Add to Reading List Source URL: newport.eecs.uci.edu Language: English - Date: 2012-05-22 10:47:20 Markov models Cluster analysis Machine learning Mixture model Expectation–maximization algorithm Hidden Markov model Maximum likelihood Matrix multiplication Independent component analysis Statistics Estimation theory Statistical models

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