Mixture theory

Results: 438



#Item
161Machine learning / Probability theory / Dirichlet process / Chinese restaurant process / Mixture model / Cluster analysis / Mixture / Exchangeable random variables / Statistics / Stochastic processes / Statistical models

Journal of Machine Learning Research[removed]2410 Submitted 10/09; Revised 12/10; Published 8/10 Distance Dependent Chinese Restaurant Processes David M. Blei

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:20
162Statistical models / Cluster analysis / Expectation–maximization algorithm / Missing data / Mixture model / Likelihood function / Statistics / Estimation theory / Bayesian statistics

6.867 Machine learning, lecture 15 (Jaakkola) 1 Lecture topics: • Different types of mixture models (cont’d)

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Source URL: ocw.mit.edu

Language: English - Date: 2015-03-15 16:36:56
163Statistical models / Dynamic topic model / Markov models / Control theory / Variational Bayesian methods / Latent Dirichlet allocation / Mixture model / Topic model / Probabilistic latent semantic analysis / Statistics / Statistical natural language processing / Bayesian statistics

Continuous Time Dynamic Topic Models Chong Wang Computer Science Dept. Princeton University Princeton, NJ 08540

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:23
164Estimation theory / Machine learning / Bioinformatics / Hidden Markov model / Markov chain / Mixture model / Baum–Welch algorithm / Expectation–maximization algorithm / Speech recognition / Statistics / Markov models / Probability and statistics

Sparseness Achievement in Hidden Markov Models Manuele Bicego∗ DEIR - University of Sassari via Torre Tonda, [removed]Sassari - Italy

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 17:56:25
165Econometrics / Statistical models / Markov processes / Estimation theory / Mixture model / Normal distribution / Hidden Markov model / Markov chain / Generalized method of moments / Statistics / Probability and statistics / Markov models

Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models Bin Yang Chenjuan Guo

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Source URL: www.vldb.org

Language: English - Date: 2013-08-01 05:51:47
166Statistical theory / M-estimators / Expectation–maximization algorithm / Missing data / Maximum likelihood / Mixture model / Conjugate prior / Likelihood function / Normal distribution / Statistics / Estimation theory / Bayesian statistics

6.867 Machine learning, lecture 16 (Jaakkola) 1 Lecture topics: • Mixture of Gaussians (cont’d)

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Source URL: ocw.mit.edu

Language: English - Date: 2015-03-15 16:36:56
167Mixture 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
168Estimation 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
169Kernel 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
170Statistical 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
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