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Dirichlet distribution
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#	Item
91	UAI[removed]ASUNCION ET AL. 27 Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-05-13 20:03:54 Variational Bayesian methods Latent Dirichlet allocation Expectation–maximization algorithm Dirichlet distribution Bayesian inference Probabilistic latent semantic analysis Hyperparameter Statistics Bayesian statistics Statistical natural language processing
92	Machine Learning, 20, [removed]) © 1995 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data DAVID HECKERMAN Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2011-11-09 03:51:34 Bayesian inference Dirichlet distribution Conjugate prior Bayesian linear regression Statistics Bayesian statistics Bayesian network
93	A Topic Model for Melodic Sequences Athina Spiliopoulou Amos Storkey School of Informatics, University of Edinburgh Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-05-29 11:10:27 Statistical models Bayesian networks Markov models Machine learning Topic model Latent Dirichlet allocation Plate notation N-gram Dirichlet distribution Statistics Probability Statistical natural language processing
94	Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes Ehsan Abbasnejad Scott Sanner ANU & NICTA NICTA & ANU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-04-25 08:14:01 Markov chain Normal distribution Dirichlet process Bayesian inference Marginal likelihood Conjugate prior Statistics Bayesian statistics Mixture model
95	Mixed Membership Models for Time Series Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-09-13 14:45:30 Statistical models Markov models Dirichlet process Latent Dirichlet allocation Mixture model Dirichlet distribution Hidden Markov model Probability distribution Concentration parameter Statistics Stochastic processes Statistical natural language processing
96	BNP_MSP_final_IEEEformat.dvi Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:49 Bioinformatics Hidden Markov model Markov processes Markov chain Dirichlet distribution Dirichlet process Chinese restaurant process Concentration parameter Statistics Stochastic processes Markov models
97	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
98	Learning Cross-modality Similarity for Multinomial Data Yangqing Jia UC Berkeley EECS Mathieu Salzmann TTI-Chicago Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:26 Topic model Mixture model Information retrieval Maximum likelihood Modal logic Dirichlet distribution Dirichlet process Dynamic topic model Bag of words model in computer vision Statistics Statistical natural language processing Latent Dirichlet allocation
99	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-03-31 16:28:07 Estimation theory Bayesian statistics Statistical theory Bioinformatics Expectation–maximization algorithm Variational Bayesian methods Gamma distribution Multinomial distribution Dirichlet distribution Statistics Probability and statistics Statistical natural language processing
100	Multiscale Topic Tomography Ramesh Nallapati William Cohen Susan Ditmore Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-03-30 09:51:36 Estimation theory Poisson processes Dynamic topic model Bayesian statistics Poisson distribution Latent Dirichlet allocation Gamma distribution Expectation–maximization algorithm Conjugate prior Statistics Statistical natural language processing Stochastic processes

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