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Mixture model
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#	Item
921	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 3, Add to Reading List Source URL: www.lx.it.pt Language: English - Date: 2010-07-24 14:00:58 Machine learning Multivariate statistics Information theory Expectation–maximization algorithm Mixture model Maximum likelihood Mixture distribution K-means clustering Kullback–Leibler divergence Statistics Estimation theory Statistical theory
922	Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2006-05-16 12:30:10 Statistical theory Machine learning Markov models Expectation–maximization algorithm Maximum likelihood Hidden Markov model Mixture model Kullback–Leibler divergence Marginal likelihood Statistics Estimation theory Bayesian statistics
923	594 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:55:48 Estimation theory Statistical theory Bayesian statistics One-shot learning Constellation model Mixture model Caltech 101 Expectation–maximization algorithm Bayesian inference Statistics Probability and statistics Machine learning
924	Studying How the Past is Remembered: Towards Computational History through Large Scale Text Mining Ching-man Au Yeung∗ Add to Reading List Source URL: www.dl.kuis.kyoto-u.ac.jp Language: English - Date: 2011-09-08 02:08:26 Topic model Latent Dirichlet allocation Mixture model N-gram Statistical hypothesis testing Dirichlet process Dynamic topic model Geographic information system Logarithm Statistics Statistical natural language processing Probability and statistics
925	Effective Automatic Image Annotation Via A Coherent Language Model and Active Learning Rong Jin Add to Reading List Source URL: www.cse.msu.edu Language: English - Date: 2004-07-27 20:08:50 Estimation theory Artificial intelligence applications Automatic image annotation Natural language processing Annotation Information retrieval Image retrieval Mixture model Expectation–maximization algorithm Statistics Artificial intelligence Logic
926	Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: www.csse.monash.edu.au Language: English - Date: 2005-08-08 22:33:55 Statistical theory Minimum message length Prior probability Conjugate prior Bayes factor Bayes estimator Mixture model Bayesian inference Normal distribution Statistics Estimation theory Bayesian statistics
927	Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: www.csse.monash.edu.au Language: English - Date: 2005-08-24 01:51:47 Statistical theory Minimum message length Prior probability Conjugate prior Bayes factor Bayes estimator Mixture model Bayesian inference Normal distribution Statistics Estimation theory Bayesian statistics
928	Also appears in the Online Symposium for Electronics Engineer 2000 http://www.techonline.com/osee/ Add to Reading List Source URL: www.eecis.udel.edu Language: English - Date: 2005-02-18 11:29:15 Markov processes Markov chain Bioinformatics Hidden Markov model Expectation–maximization algorithm Mixture model Continuous-time Markov process Language model Estimation theory Statistics Markov models Probability and statistics
929	Also appears in the Online Symposium for Electronics Engineer 2000 http://www.techonline.com/osee/ Add to Reading List Source URL: www.eecis.udel.edu Language: English - Date: 2005-02-18 11:30:07 Probability and statistics Hidden Markov model Markov chain Viterbi algorithm Forward–backward algorithm Expectation–maximization algorithm Baum–Welch algorithm Dynamic programming Mixture model Statistics Markov models Machine learning
930	PDF Document Add to Reading List Source URL: www.ai.mit.edu Language: English - Date: 1999-10-14 16:34:47 Computer vision Thresholding Segmentation Mixture model Statistical model Normal distribution Expectation–maximization algorithm Image noise One-shot learning Statistics Image processing Probability and statistics

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