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Chinese restaurant process
Results: 37

#	Item
21	Distance Dependent Infinite Latent Feature Models Samuel J. Gershman1 , Peter I. Frazier2 and David M. Blei3 1 Department of Brain and Cognitive Sciences, Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2014-05-19 05:49:39 Dirichlet process Chinese restaurant process Markov chain Mixture model Statistics Stochastic processes Statistical models
22	Variational Inference for the Nested Chinese Restaurant 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 Variational Bayesian methods Statistical models Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model Bayesian inference Exponential family Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
23	The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies DAVID M. BLEI Princeton University, Princeton, New Jersey AND Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
24	Journal of Machine Learning Research[removed]2410 Submitted 10/09; Revised 12/10; Published 8/10 Distance Dependent Chinese Restaurant Processes David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-02-16 21:04:48 Machine learning Probability theory Dirichlet process Chinese restaurant process Mixture model Cluster analysis Mixture Exchangeable random variables Statistics Stochastic processes Statistical models
25	Dependent Normalized Random Measures Changyou Chen1,3 [removed] Vinayak Rao2 [removed] Wray Buntine3,1 Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-06-11 05:59:52 Dirichlet distribution Gamma distribution Characteristic function Parametric model Chinese restaurant process Pitman–Yor process Statistics Stochastic processes Dirichlet process
26	Spatial distance dependent Chinese restaurant processes for image segmentation Soumya Ghosh1 , Andrei B. Ungureanu2 , Erik B. Sudderth1 , and David M. Blei3 1 Department of Computer Science, Brown University, {sghosh,su Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-11-29 11:07:08 Cluster analysis Image processing Segmentation Market segmentation Dirichlet process K-means clustering Mixture model Chinese restaurant process Spectral clustering Statistics Stochastic processes Machine learning
27	Distance dependent Chinese restaurant processes David M. Blei Department of Computer Science, Princeton University 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Chinese restaurant process Mixture model Gibbs sampling Statistics Stochastic processes Dirichlet process
28	Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics Marwan A. Mattar Allen R. Hanson Department of Computer Science Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2012-09-09 18:22:40 Cluster analysis Statistical models K-means clustering Mixture model Expectation–maximization algorithm Dirichlet process Chinese restaurant process Pattern recognition Normal distribution Statistics Machine learning Stochastic processes
29	Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process : with Applications to Evolutionary Clustering Amr Ahmed Eric Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-02-01 08:51:44 Markov models Multivariate statistics Data mining K-means clustering Data stream clustering Mixture model Dirichlet process Hidden Markov model Spectral clustering Statistics Machine learning Cluster analysis
30	Hierarchical Dirichlet Processes Yee Whye Teh [removed] Department of Computer Science, National University of Singapore, Singapore[removed]Michael I. Jordan Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-11-16 13:23:59 Dirichlet distribution Mixture model Hidden Markov model Chinese restaurant process Concentration parameter Probability distribution Markov chain Johann Peter Gustav Lejeune Dirichlet Statistics Stochastic processes Dirichlet process

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