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Dirichlet process
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#	Item
1	Hierarchical Double Dirichlet Process Mixture of Gaussian Processes Aditya Tayal and Pascal Poupart and Yuying Li {amtayal, ppoupart, yuying}@uwaterloo.ca Cheriton School of Computer Science University of Waterloo Waterl Add to Reading List Source URL: cs.uwaterloo.ca Language: English - Date: 2012-05-23 12:16:46
2	MPME-DP: Multi-Population Moment Estimation via Dirichlet Process for Efficient Validation of Analog/Mixed-Signal Circuits Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:26:20
3	Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-08-08 22:07:31 Statistics Probability Statistical theory Probability distributions Statistical models Bayesian statistics Stochastic processes Graphical models Bayesian network Gibbs sampling Dirichlet process Mixture model
4	A Latent Dirichlet Model for Unsupervised Entity Resolution Indrajit Bhattacharya Lise Getoor Department of Computer Science University of Maryland, College Park, MDAbstract Add to Reading List Source URL: drona.csa.iisc.ernet.in Language: English - Date: 2006-02-01 15:14:20 Probability Statistics Probability distributions Stochastic processes Latent Dirichlet allocation Statistical natural language processing Mixture model Prior probability Dirichlet distribution Gibbs sampling Sampling Dirichlet process
5	A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling Drausin Wulsin Dept. of Bioengineering, University of Pennsylvania, Philadelphia, PA USA Shane Jensen Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-07-26 16:23:10 Medicine Clinical medicine Health Epilepsy Stochastic processes Seizure types Hierarchical Dirichlet process Epileptic seizure Dirichlet process Mixture model
6	Construction of Dependent Dirichlet Processes based on Poisson Processes Dahua Lin CSAIL, MIT Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:50 Probability Statistics Stochastic processes Markov processes Probability distributions Poisson processes Markov models Poisson point process Poisson distribution Dirichlet process Mixture model Gibbs sampling
7	Coupled Dirichlet Processes: Beyond HDP John Fisher MIT CSAIL Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:23:38 Statistics Probability Stochastic processes Hierarchical Dirichlet process Dirichlet process Dirichlet distribution Mixture model Hidden Markov model Gibbs sampling Probability distribution Poisson point process
8	Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago Add to Reading List Source URL: dahua.me Language: English - Date: 2013-10-22 19:40:40 Statistics Statistical theory Probability Bayesian statistics Stochastic processes Probability distributions Estimation theory Statistical natural language processing Dirichlet process Mixture model Variational Bayesian methods Dirichlet distribution
9	Coupling Nonparametric Mixtures via Latent Dirichlet Processes John Fisher MIT CSAIL Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:57 Statistics Probability Statistical natural language processing Machine learning Stochastic processes Probability distributions Dirichlet process Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Gibbs sampling Dirichlet distribution
10	Nonparametric Latent Feature Models for Link Prediction Thomas L. Griffiths Psychology and Cognitive Science University of California Berkeley, CA 94720 Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 04:30:07 Statistical models Actuarial science Econometrics Latent variable Psychometrics Dirichlet process Regression analysis