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Dirichlet process
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111	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
112	Nonlin. Processes Geophys., 21, 1145–1157, 2014 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Non-parametric Bayesian mixture of sparse regr Add to Reading List Source URL: www.nonlin-processes-geophys.net Language: English - Date: 2014-12-04 10:34:51 Regression analysis Bayesian statistics Estimation theory Linear regression Mixture model Dirichlet process Variational Bayesian methods Normal distribution Parameter Statistics Econometrics Statistical models
113	Journal of Mathematical Psychology[removed]–12 Contents lists available at SciVerse ScienceDirect Journal of Mathematical Psychology journal homepage: www.elsevier.com/locate/jmp Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Statistical models Stochastic processes Statistical inference Dirichlet process Mixture model Latent variable Bayes factor Bayesian inference Hidden Markov model Statistics Bayesian statistics Psychometrics
114	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
115	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
116	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable Lauren A. Hannah Duke University Durham, NC 27701 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Stochastic optimization Operations research Mathematical optimization Dirichlet process Stochastic approximation Newsvendor model Mixture model Stochastic gradient descent Gradient descent Statistics Probability and statistics Numerical analysis
117	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
118	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.columbia.edu Language: English - Date: 2015-03-12 00:16:21 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
119	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
120	Journal of Machine Learning Research[removed]1224 Submitted 3/10; Revised 3/11; Published 4/11 The Indian Buffet Process: An Introduction and Review Thomas L. Griffiths Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2011-04-11 17:58:43 Categorical data Markov models Dirichlet process Conjugate prior Mixture model Chinese restaurant process Dirichlet distribution Markov chain Latent class model Statistics Statistical models Stochastic processes