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Dirichlet process
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41	Accounting for Data dependencies within a Hierarchical Dirichlet Process Mixture Model CIKM 2011 Dongwoo Kim & Alice Oh KAIST U&I Lab. Add to Reading List Source URL: uilab.kaist.ac.kr Language: English - Date: 2013-05-23 10:59:50
42	Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2008-02-26 17:59:19 Statistics Machine learning Cluster analysis Computational statistics Bioinformatics Hierarchical clustering Network analysis Dirichlet process K-means clustering DNA binding site Expectationmaximization algorithm Consensus clustering
43	Conjugacy as a Distinctive Feature of the Dirichlet Process Add to Reading List Source URL: economia.unipv.it Language: English - Date: 2011-10-12 03:44:57
44	CURRICULUM VITAE for S.G.Walker EDUCATION Sep 1976-NovSutton Manor High School, Sutton, Surrey. Oct 1984-JunOriel College, Oxford University (awarded Open Exhibition on entry to Oriel College). Oct 1992-Sep Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2016-05-30 02:40:50 Statistical inference Statistical theory Stochastic processes Statistical models Bayesian inference Statistical forecasting Bayesian statistics Dirichlet process Bayesian Statistics Mixture model
45	Proceedings, The Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-15) Bayesian Clustering of Player Styles for Multiplayer Games Aline Normoyle Shane T. Jensen Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-12-17 10:15:17 Statistics Computing Mathematics Cluster analysis K-means clustering Hierarchical clustering Non-negative matrix factorization Fuzzy clustering Machine learning Computer cluster Dirichlet process Consensus clustering
46	Coresets for Nonparametric Estimation — the Case of DP-Means Olivier Bachem Mario Lucic Andreas Krause ETH Zurich, Switzerland Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:43 Statistics Computational statistics Cluster analysis Machine learning Monte Carlo methods K-means clustering K-means++ Dirichlet process Mixture model Median Importance sampling Determining the number of clusters in a data set
47	Dirichlet labeling and hierarchical processes for clustering functional data XuanLong Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-03-19 18:20:32 Cluster analysis Geostatistics Stochastic processes Data mining Image segmentation Dirichlet process Mixture model Correlation clustering
48	Hierarchical Dirichlet Scaling Process Dongwoo Kim KAIST, Daejeon, Korea DW. KIM @ KAIST. AC . KR Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:27 Statistics Probability Statistical theory Statistical natural language processing Probability distributions Stochastic processes Latent Dirichlet allocation Hierarchical Dirichlet process Topic model Dirichlet process Dirichlet distribution Mixture model
49	Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-03-19 18:14:23 Statistics Statistical theory Probability Probability distributions Stochastic processes Dirichlet process Bayesian statistics Markov chain Monte Carlo Mixture distribution Statistical inference Concentration parameter Mixture model
50	Convergence of latent mixing measures in finite and infinite mixture models Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-09-24 16:38:48 Statistics Probability Estimation theory Stochastic processes Statistical models Probability distributions Cluster analysis Mixture model Dirichlet process Mixture distribution Identifiability

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