Gibbs sampling

Results: 303



#Item
91Markov chain Monte Carlo / Markov models / Markov processes / Bayesian statistics / Markov chain / Gibbs sampling / Boltzmann machine / Generative model / Graphical model / Statistics / Statistical models / Probability and statistics

Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric

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Source URL: yosinski.com

Language: English - Date: 2014-09-17 14:43:15
92Markov models / Markov processes / Multivariate statistics / Abstract algebra / Linear algebra / Markov chain / Factor analysis / Gibbs sampling / Matrix / Statistics / Algebra / Mathematics

0.1 factor.mix: Mixed Data Factor Analysis Mixed data factor analysis takes both continuous and ordinal dependent variables and estimates a model for a given number of latent factors. The model is estimated using a Mark

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Source URL: perso.md2t.eu

Language: English - Date: 2011-03-08 17:52:46
93Bayesian statistics / Statistical models / Statistical theory / Expectation–maximization algorithm / Missing data / Mixture model / Maximum likelihood / Gibbs sampling / Prior probability / Statistics / Probability and statistics / Estimation theory

Bayesian Probability Maps For Evaluation Of Cardiac Ultrasound Data Mattias Hansson1 , Sami Brandt1,2 , and Petri Gudmundsson3 1 Center for Technological Studies, Malm¨o University, Sweden,

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Source URL: www.ee.oulu.fi

Language: English - Date: 2010-11-08 03:59:58
94Computational statistics / Monte Carlo methods / Markov chain / Estimation theory / Gibbs sampling / Gamma distribution / Statistics / Markov models / Probability and statistics

0.1 ei.dynamic: Quinn’s Dynamic Ecological Inference Model Given contingency tables with observed marginals, ecological inference (ei) models estimate

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Source URL: perso.md2t.eu

Language: English - Date: 2011-03-08 17:52:46
95Monte Carlo methods / Markov chain Monte Carlo / Stochastic processes / Markov processes / Markov chain / Ergodicity / Metropolis–Hastings algorithm / Mixing / Gibbs sampling / Statistics / Probability and statistics / Markov models

Markov chain Monte Carlo: Some practical implications of theoretical results by Gareth O. Roberts* and

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Source URL: probability.ca

Language: English - Date: 2006-10-04 20:52:08
96Statistical models / Regression analysis / Probabilistic latent semantic analysis / Latent Dirichlet allocation / Expectation–maximization algorithm / Dummy variable / Linear discriminant analysis / Gibbs sampling / Semantics / Statistics / Statistical natural language processing / Categorical data

Harmonium Models for Semantic Video Representation and Classication Jun Yang Yan Liu∗ Eric X. Ping

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-04-27 11:41:08
97Stochastic processes / Markov chain Monte Carlo / Markov processes / Jeffrey S. Rosenthal / Markov chain / Metropolis–Hastings algorithm / Random walk / Stochastic / Gibbs sampling / Statistics / Markov models / Monte Carlo methods

CURRICULUM VITAE Jeffrey S. Rosenthal (Last updated April 16, BIOGRAPHICAL INFORMATION: Personal:

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Source URL: www.probability.ca

Language: English - Date: 2015-04-16 10:11:05
98Category theory / Steganography / Embedding / Information theory / Steganalysis / Gibbs sampling / Line / Mathematics / Topology / Espionage

Steganography using Gibbs random fields Tomáš Filler Jessica Fridrich SUNY Binghamton

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Source URL: www.ws.binghamton.edu

Language: English - Date: 2010-06-24 19:35:54
99Probability / Context-free grammar / Stochastic context-free grammar / Formal grammar / Gibbs sampling / Terminal and nonterminal symbols / Conditional probability / Controlled grammar / Earley parser / Formal languages / Logic / Grammar

JMLR: Workshop and Conference Proceedings 34:153–166, 2014 Proceedings of the 12th ICGI Inferring (k, l)-context-sensitive probabilistic context-free grammars using hierarchical Pitman-Yor processes

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Source URL: jmlr.org

Language: English - Date: 2014-08-26 06:56:50
100Markov chain Monte Carlo / Markov models / Markov processes / Bayesian statistics / Markov chain / Gibbs sampling / Boltzmann machine / Generative model / Graphical model / Statistics / Statistical models / Probability and statistics

Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric

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Source URL: jmlr.org

Language: English - Date: 2015-02-01 17:03:25
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