Mixture model

Results: 969



#Item
411Latent Dirichlet allocation / Mixture model / Expectation–maximization algorithm / Topic model / Markov chain / Probit model / Statistics / Machine learning / Statistical natural language processing

Hierarchical relational models for document networks

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:21
412Mixture model / Likelihood function / Mixture distribution / EM / Algorithm / Statistics / Estimation theory / Expectation–maximization algorithm

Clustering by intersection-merging Qunhua Li Marina Meila˘ Department of Statistics

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Source URL: www.stat.washington.edu

Language: English - Date: 2007-11-27 01:06:05
413Cluster analysis / Multivariate statistics / Data mining / Expectation–maximization algorithm / Hierarchical clustering / K-means clustering / Mixture model / Latent variable / Support vector machine / Statistics / Statistical models / Machine learning

Latent Maximum Margin Clustering Guang-Tong Zhou, Tian Lan, Arash Vahdat, and Greg Mori School of Computing Science Simon Fraser University {gza11,tla58,avahdat,mori}@cs.sfu.ca

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Source URL: www.cs.sfu.ca

Language: English - Date: 2013-12-02 23:33:32
414Latent Dirichlet allocation / Dynamic topic model / Variational Bayesian methods / Topic model / Hidden Markov model / Calculus of variations / Mixture model / Bayesian inference / Dirichlet process / Statistics / Statistical natural language processing / Bayesian statistics

Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:23
415Estimation theory / Stochastic processes / Statistical models / Dirichlet process / Conjugate prior / Mixture model / Latent Dirichlet allocation / Dirichlet distribution / Parametric model / Statistics / Statistical theory / Bayesian statistics

Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago

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Source URL: papers.nips.cc

Language: English - Date: 2014-02-24 18:11:54
416Kernel density estimation / Density estimation / Variable kernel density estimation / Mixture distribution / Mixture model / Normal distribution / Estimation theory / Mode / Parameter / Statistics / Non-parametric statistics / Statistical inference

A nonparametric analysis of the shape dynamics of the US personal income distribution: [removed], October 2005

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Source URL: www.bis.org

Language: English - Date: 2005-10-01 18:00:00
417Statistical inference / Statistical theory / Variational Bayesian methods / Latent Dirichlet allocation / Gamma distribution / Dirichlet process / Mixture model / Normal distribution / Gamma function / Statistics / Bayesian statistics / Statistical natural language processing

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling John Paisley, Chong Wang and David Blei Department of Computer Science, Princeton University {jpaisley,chongw,blei}@princeton.edu

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:22
418Dirichlet process / Chinese restaurant process / Markov chain / Mixture model / Statistics / Stochastic processes / Statistical models

Distance Dependent Infinite Latent Feature Models Samuel J. Gershman1 , Peter I. Frazier2 and David M. Blei3 1 Department of Brain and Cognitive Sciences,

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:21
419Statistical classification / Gaussian process / Relevance vector machine / Supervised learning / Support vector machine / Mixture model / Bayesian inference / Regression analysis / Gaussian adaptation / Statistics / Machine learning / Bayesian statistics

C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006, c 2006 Massachusetts Institute of Technology. www.GaussianProcess.org/gpml ISBN 026218253X. Gaussian Processes for Machin

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Source URL: www.gaussianprocess.org

Language: English
420Bayesian statistics / Latent Dirichlet allocation / Bayesian networks / Graphical models / Statistical models / Plate notation / Topic model / Mixture model / Dirichlet distribution / Statistics / Probability and statistics / Statistical natural language processing

TOPIC MODELS DAVID M. BLEI PRINCETON UNIVERSITY JOHN D. LAFFERTY CARNEGIE MELLON UNIVERSITY

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:20
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