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Dirichlet process
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#	Item
141	Individual Differences in Explaining Noisy Data Daniel R. Little & Richard M. Shiffrin Department of Psychological and Brain Sciences, Indiana University Introduction Add to Reading List Source URL: old.psych.unimelb.edu.au Language: English - Date: 2012-03-06 16:06:12 Statistical models Dirichlet process Kriging Mixture model Nonparametric regression Conjugate prior Statistics Regression analysis Interpolation
142	Coresets for the DP-Means Clustering Problem Olivier Bachem ETH Zurich Mario Lu˘ci´c Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:14 Cluster analysis K-means++ K-means clustering Importance sampling Unsupervised learning Dirichlet process Data stream clustering Determining the number of clusters in a data set Statistics Computational statistics Machine learning
143	The Grouped Author-Topic Model for Unsupervised Entity Resolution Andrew M. Dai and Amos J. Storkey Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, U.K. {a.dai,a.storkey}@ed Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-27 07:03:54 Statistical natural language processing Stochastic processes Machine learning Statistical models Natural language processing Latent Dirichlet allocation Dirichlet process Plate notation Mixture model Statistics Probability and statistics Probability
144	230 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 37, Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-02-01 19:31:21 Stochastic processes Dirichlet process Concentration parameter Mixture model Topic model Probabilistic latent semantic analysis Pitman–Yor process N-gram Language model Statistics Probability and statistics Statistical natural language processing
145	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2010-09-01 16:09:44 Estimation theory Dynamic topic model Statistical models Regression analysis Latent Dirichlet allocation Dirichlet process Mixture model Topic model Linear regression Statistics Statistical natural language processing Econometrics
146	Robust Bayesian Max-Margin Clustering Changyou Chen† Jun Zhu‡ Xinhua Zhang] † Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-10-30 20:29:12 Machine learning Statistical models Cluster analysis Mixture model Dirichlet process K-means clustering Variational Bayesian methods Loss function Hierarchical clustering Statistics Statistical theory Bayesian statistics
147	Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes Ehsan Abbasnejad Scott Sanner ANU & NICTA NICTA & ANU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-04-25 08:14:01 Markov chain Normal distribution Dirichlet process Bayesian inference Marginal likelihood Conjugate prior Statistics Bayesian statistics Mixture model
148	Mixed Membership Models for Time Series Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-09-13 14:45:30 Statistical models Markov models Dirichlet process Latent Dirichlet allocation Mixture model Dirichlet distribution Hidden Markov model Probability distribution Concentration parameter Statistics Stochastic processes Statistical natural language processing
149	BNP_MSP_final_IEEEformat.dvi Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:49 Bioinformatics Hidden Markov model Markov processes Markov chain Dirichlet distribution Dirichlet process Chinese restaurant process Concentration parameter Statistics Stochastic processes Markov models
150	A Sticky HDP-HMM with Application to Speaker Diarization Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-09-06 16:11:07 Statistical theory Statistical inference Estimation theory Hidden Markov model Dirichlet process Mixture model Expectation–maximization algorithm Dirichlet distribution Chinese restaurant process Statistics Stochastic processes Statistical models

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