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Expectation–maximization algorithm
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421	Expectation propagation as a way of life∗ Andrew Gelman† Aki Vehtari‡ Pasi Jylänki§ Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-12-15 22:49:33 Statistical theory Statistical inference Normal distribution Variational Bayesian methods Golden ratio Likelihood function Bayesian inference Expectation–maximization algorithm Empirical Bayes method Statistics Bayesian statistics Estimation theory
422	[removed]Machine Learning, Spring 2011: Homework 4 Due: Tuesday March 1st at the begining of the class Instructions There are two questions on this assignment. Please submit your writeup as two separate sets of pages accor Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-03-15 20:16:35 Econometrics Expectation–maximization algorithm Missing data Maximum likelihood Linear regression Logistic regression Naive Bayes classifier Statistics Estimation theory Regression analysis
423	1 Optimal Dynamic Graphs for Video Content Analysis Tao Xiang and Shaogang Gong Department of Computer Science Add to Reading List Source URL: www.bmva.org Language: English - Date: 2012-02-07 08:52:01 Bayesian inference Estimation theory Statistical models Akaike information criterion Hidden Markov model Bayesian information criterion Maximum likelihood Speech recognition Expectation–maximization algorithm Statistics Model selection Markov models
424	A Hierarchical Bayesian Model of Crowdsourced Relevance Coding Bob Carpenter Columbia University, Department of Statistics LingPipe, Inc. [removed] Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2012-02-03 09:41:51 Natural language processing Relevance feedback Bayesian inference Expectation–maximization algorithm Relevance Statistics Information retrieval Bayesian statistics
425	Multi-view Exploratory Learning for AKBC Problems William W. Cohen School of Computer Science Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-11-21 08:59:57 Statistics Semi-supervised learning Document classification Expectation–maximization algorithm Supervised learning K-means clustering Word-sense disambiguation Concept learning Statistical classification Machine learning Computational statistics Artificial intelligence
426	Bayesian Methods for Frequent Terms in Text: Models of Contagion and the ∆2 Statistic Edoardo M. Airoldi1, William W. Cohen1 and Stephen E. Fienberg2,1 1 School of Computer Science, and 2 Department of Statistics Carne Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-03-07 11:21:55 Statistical theory Statistical natural language processing Conjugate prior Expectation–maximization algorithm Empirical Bayes method Gamma distribution Probability distribution Poisson distribution Latent Dirichlet allocation Statistics Bayesian statistics Estimation theory
427	Learning Predictive State Representations [removed] Satinder Singh Computer Science and Engineering, University of Michigan Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2003-11-08 15:06:01 Stochastic control Markov models Estimation theory Expectation–maximization algorithm Markov decision process Reinforcement learning Machine learning Algorithm Normal distribution Statistics Dynamic programming Markov processes
428	REVISITING SEMI-CONTINUOUS HIDDEN MARKOV MODELS K. Riedhammer1 , T. Bocklet1 , A. Ghoshal2,3 , D. Povey4 1 Pattern Recognition Lab, University of Erlangen-Nuremberg, G ERMANY 2 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-06-12 09:45:08 Probability and statistics Estimation theory Markov models Bioinformatics Hidden Markov model Mixture model Speech recognition Expectation–maximization algorithm Pattern recognition Statistics Machine learning Computational statistics
429	Random Sampling with a Reservoir JEFFREY SCOTT VITTER Brown University We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown Add to Reading List Source URL: www.mathcs.emory.edu Language: English - Date: 2005-10-15 23:23:14 Analysis of algorithms Randomized algorithm Big O notation Time complexity Expectation–maximization algorithm Pseudo-random number sampling Theoretical computer science Mathematics Applied mathematics
430	Hidden semi-Markov models Add to Reading List Source URL: sist.sysu.edu.cn Language: English - Date: 2010-02-23 22:33:21 Hidden Markov model Expectation–maximization algorithm Viterbi algorithm Markov chain Forward–backward algorithm Hidden semi-Markov model Statistics Markov models Machine learning

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