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Chinese restaurant process
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#	Item
1	Modeling Topic Hierarchies with the Recursive Chinese Restaurant Process Joon Hee Kim, Dongwoo Kim, Suin Kim, Alice Oh KAIST 1 Add to Reading List Source URL: uilab.kaist.ac.kr Language: English - Date: 2013-05-23 21:41:20
2	Modeling Topic Hierarchies with the Recursive Chinese Restaurant Process Joon Hee Kim, Dongwoo Kim, Suin Kim, and Alice Oh Department of Computer Science Korea Advanced Institute of Science and Technology Daejeon, Republ Add to Reading List Source URL: uilab.kaist.ac.kr Language: English - Date: 2013-05-23 11:17:18
3	An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2010-03-26 09:04:06 Statistics Stochastic processes Statistical theory Probability Hierarchical Dirichlet process Dirichlet process PitmanYor process Chinese restaurant process Dirichlet distribution Mixture model Concentration parameter Pattern recognition
4	An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-03-15 18:50:30 Pitman–Yor process Chinese restaurant process Dirichlet distribution Concentration parameter Mixture model Bayesian inference Prior probability Statistics Stochastic processes Dirichlet process
5	The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data Julia E. Vogt Computer Science Department, University of Basel, Basel, Switzerland Sandhya Prabhakaran Add to Reading List Source URL: cs-wwwarchiv.cs.unibas.ch Language: English - Date: 2010-06-28 10:55:02 Matrix theory Matrices Mathematical physics Stochastic processes Random matrix Eigenvalues and eigenvectors Chinese restaurant process Orthogonal matrix Dirichlet process Algebra Linear algebra Mathematics
6	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.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Cluster analysis Image processing Segmentation Market segmentation Dirichlet process K-means clustering Mixture model Chinese restaurant process Spectral clustering Statistics Stochastic processes Machine learning
7	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.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Chinese restaurant process Mixture model Gibbs sampling Statistics Stochastic processes Dirichlet process
8	Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 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
9	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2010-06-16 23:53:04 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
10	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.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Machine learning Probability theory Dirichlet process Chinese restaurant process Mixture model Cluster analysis Mixture Exchangeable random variables Statistics Stochastic processes Statistical models