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Hierarchical Dirichlet process
Results: 52

#	Item
31	Truncation-free Stochastic Variational Inference for Bayesian Nonparametric Models Chong Wang⇤ Machine Learning Department Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Dirichlet process Latent Dirichlet allocation Mixture model Bayesian inference Importance sampling Inference Conjugate prior Hierarchical Bayes model Dirichlet distribution Statistics Bayesian statistics Variational Bayesian methods
32	Robust Bayesian Max-Margin Clustering Changyou Chen† Jun Zhu‡ Xinhua Zhang] † Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-10-30 20:29:12 Machine learning Statistical models Cluster analysis Mixture model Dirichlet process K-means clustering Variational Bayesian methods Loss function Hierarchical clustering Statistics Statistical theory Bayesian statistics
33	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
34	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
35	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
36	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
37	Information Retrieval Using Hierarchical Dirichlet Processes Philip J. Cowans Inference Group, University of Cambridge Cavendish Laboratory, Madingley Road, Cambridge, CB3 0HE, UK Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2004-07-09 10:59:59 Statistics Statistical natural language processing Natural language processing Tf*idf Text Retrieval Conference Relevance Language model Dirichlet process Dirichlet distribution Information science Information retrieval Science
38	Information Retrieval Using Hierarchical Dirichlet Processes Phil Cowans Inference Group Department Of Physics University Of Cambridge Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2004-10-26 09:07:19 Information retrieval Markov models Artificial intelligence applications Dirichlet process Dirichlet distribution Tf*idf Language model Concentration parameter Probability distribution Statistics Statistical natural language processing Stochastic processes
39	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
40	Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Statistical inference Latent Dirichlet allocation Dirichlet process Dirichlet distribution Concentration parameter Mixture model Topic model Multinomial distribution Bayesian inference Statistics Statistical natural language processing Bayesian statistics

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