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Mixture distribution
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#	Item
61	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
62	Score Distributions in Information Retrieval Avi Arampatzis1 , Stephen Robertson2, and Jaap Kamps1 1 University of Amsterdam, the Netherlands 2 Add to Reading List Source URL: www.aviarampatzis.com Language: English - Date: 2009-07-26 20:33:18 Statistics Precision and recall Relevance feedback Relevance Normal distribution Query expansion Probability distribution Mixture model Exponential distribution Information science Information retrieval Science
63	Gaussian Mixture Models for Extreme Events Mark J. Bennett Graduate Program in Analytics University of Chicago Add to Reading List Source URL: www.rinfinance.com Language: English - Date: 2015-06-04 06:22:50 Mixture model Statistics Probability Normal distribution
64	Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn Gatsby Computational Neuroscience Unit University College London Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-12-15 22:15:42 Learning theory Cluster analysis Data analysis Mixture model Dimensional analysis Dimension Multivariate normal distribution Dirichlet process Covariance matrix Statistics Machine learning Concept learning
65	Multiple Source Adaptation and the R´enyi Divergence Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:32 Kullback–Leibler divergence Statistical theory Thermodynamics Closed and exact differential forms Multivariate normal distribution Divergence Mixture distribution Distribution Vector space Algebra Mathematics Statistics
66	Discussion Paper Atmos. Chem. Phys. Discuss., 15, 16141–16174, 2015 www.atmos-chem-phys-discuss.netdoi:acpd © Author(sCC Attribution 3.0 License. Add to Reading List Source URL: www.atmos-chem-phys-discuss.net Language: English - Date: 2015-07-13 16:23:53 Atmosphere Chemistry Cloud condensation nuclei Closure Aerosol Mixture Particle-size distribution Particulates Aerosol science Pollution
67	Collapsed Variational Dirichlet Process Mixture Models∗ Max Welling Kenichi Kurihara Dept. of Computer Science Dept. of Computer Science UC Irvine, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-07-24 13:22:36 Expectation–maximization algorithm Dirichlet process Mixture model Latent Dirichlet allocation Normal distribution Factorial Markov chain Central limit theorem Bayesian inference Statistics Bayesian statistics Variational Bayesian methods
68	Statistical Models for Partial Membership Katherine A. Heller Sinead Williamson Zoubin Ghahramani Engineering Department, University of Cambridge, Cambridge, UK Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2008-07-10 10:03:44 Statistical models Machine learning Fuzzy clustering Mixture model Exponential family K-means clustering Conjugate prior Dimensional analysis Mixture distribution Statistics Probability and statistics Cluster analysis
69	Representing Degree Distributions, Clustering, and Homophily in Social Networks With Latent Cluster Random Effects Models Pavel N. Krivitsky Mark S. Handcock Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-08-13 15:57:13 Machine learning Statistical models Cluster analysis Normal distribution Mixture model Statistics Probability and statistics Probability
70	Label Switch in Mixture Model and Relabeling Algorithm Project for Reading Course Prepared by: Fanfu Xie, ZhengFei Chen Label Switch in Mixture Model and Relabeling Algorithm Add to Reading List Source URL: probability.ca Language: English - Date: 2009-08-30 09:25:51 Estimation theory Computational statistics Monte Carlo methods Bayesian statistics Mixture model Markov chain Monte Carlo Markov chain Mixture distribution Gibbs sampling Statistics Probability and statistics Markov models

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