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Dirichlet process
Results: 295

#	Item
151	PDF Document Add to Reading List Source URL: www.ibai-publishing.org Language: English - Date: 2013-09-12 08:07:51 Cluster analysis Image processing Segmentation Dirichlet process Mixture model Johann Peter Gustav Lejeune Dirichlet Brainbow Pattern recognition Bedini Statistics Machine learning Probability and statistics
152	A Bayesian Nonparametric Approach to Clustering Data from Underwater Robotic Surveys Daniel M. Steinberg, Ariell Friedman, Oscar Pizarro and Stefan B. Williams Abstract The use of robots for scientific mapping and explo Add to Reading List Source URL: www.isrr-2011.org Language: English - Date: 2011-08-18 11:40:14 Statistical models Statistical theory Cluster analysis Expectation–maximization algorithm Variational Bayesian methods Dirichlet process Mixture model Parametric model Bayesian inference Statistics Bayesian statistics Machine learning
153	Department of Systems Engineering and Engineering Management Seminar Series An Afternoon with Lancelot James Prof. Lancelot F. James Add to Reading List Source URL: www.cityu.edu.hk Language: English - Date: 2014-10-14 00:31:35 Pitman–Yor process Chinese restaurant process Non-parametric statistics Conceptual model Statistical inference Johann Peter Gustav Lejeune Dirichlet Hierarchical Dirichlet process Statistics Stochastic processes Dirichlet process
154	Behav Res DOI[removed]s13428[removed]Fluency Profiling System: An automated system for analyzing the temporal properties of speech Daniel R. Little & Raoul Oehmen & John Dunn & Add to Reading List Source URL: psych.unimelb.edu.au Language: English - Date: 2013-03-22 00:05:51 Probability and statistics Machine learning Speech Automatic identification and data capture Speech recognition Mixture model Speech perception Dirichlet process Hidden Markov model Statistics Science Bioinformatics
155	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
156	David M. Blei Columbia University Department of Computer Science Department of Statistics Columbia University New York, NY Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-10-27 10:16:43 Latent Dirichlet allocation Dynamic topic model Pachinko allocation Machine learning Neural network Dirichlet process Bayesian inference Variational Bayesian methods Mixture model Statistics Statistical natural language processing Topic model
157	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-09-02 12:44:15 Estimation theory Dynamic topic model Statistical models Regression analysis Latent Dirichlet allocation Dirichlet process Mixture model Topic model Linear regression Statistics Statistical natural language processing Econometrics
158	A Systematic Bayesian Treatment of the IBM Alignment Models Yarin Gal Department of Engineering University of Cambridge Cambridge, CB2 1PZ, United Kingdom [removed] Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-05-18 12:41:37 Markov models Bayesian statistics Stochastic processes Statistical machine translation Hidden Markov model Bitext word alignment Dirichlet process Language model Hierarchical Bayes model Statistics Machine translation Statistical natural language processing
159	Overview Bayesian learning theory applied to human cognition Robert A. Jacobs1∗ and John K. Kruschke2 Probabilistic models based on Bayes’ rule are an increasingly popular approach to Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2012-01-07 13:16:34 Bayesian inference Bayesian probability Graphical model Expectation–maximization algorithm Prior probability Hierarchical Bayes model Mixture model Latent variable Dirichlet process Statistics Bayesian statistics Bayesian network
160	Hierarchical Topic Models and the Nested Chinese Restaurant Process David M. Blei [removed] Thomas L. Griffiths Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:54 Latent Dirichlet allocation Dirichlet process Mixture model Chinese restaurant process Topic model Hidden Markov model Hierarchy Information retrieval Bayes factor Statistics Statistical natural language processing Stochastic processes

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