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Gibbs
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#	Item
281	ARTINFO September 11, 2008 Jillian Steinhauer Ewan Gibbs in London LONDON—Legend has it that New York is the city that never sleeps. The city of bright Add to Reading List Source URL: www.lorareynolds.com Language: English - Date: 2014-09-22 09:47:34
282	The Austin Chronicle Arts Review April 4, 2008 Amanda Douberley Ewan Gibbs: Pictures of Pitchers Add to Reading List Source URL: www.lorareynolds.com Language: English - Date: 2014-09-22 09:47:30
283	Exchangeable Inconsistent Priors for Bayesian Posterior Inference Max Welling Ian Porteous Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-02-01 15:33:24 Dirichlet process Poisson distribution Principle of maximum entropy Prior probability Normal distribution Mixture model Gibbs sampling Empirical Bayes method Bayesian inference Statistics Probability and statistics Bayesian statistics
284	Survey of Civil Society Participation in the Extractive Industries Transparency Initiative and the Role of the World Bank February 2010 by Heike Mainhardt-Gibbs Introduction Add to Reading List Source URL: www.bicusa.org Language: English - Date: 2013-05-07 13:55:58
285	Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling Machine Learning Group, University of Amsterdam Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-05-14 15:18:52 Statistical models Statistical theory Statistical inference Expectation–maximization algorithm Bayesian network Gibbs sampling Normal distribution Maximum likelihood Latent variable Statistics Bayesian statistics Estimation theory
286	Infinite State Bayesian Networks Max Welling∗, Ian Porteous, Evgeniy Bart† Donald Bren School of Information and Computer Sciences University of California Irvine Irvine, CAUSA {welling,iporteou}@ics.uci. Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-01-10 04:29:00 Statistical natural language processing Markov models Graphical models Variational Bayesian methods Dirichlet process Gibbs sampling Bayesian network Latent Dirichlet allocation Mixture model Statistics Bayesian statistics Statistical models
287	Journal of Machine Learning Research xx-xx Submitted 6/08; Published xx/xx Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-09-08 17:03:36 Latent Dirichlet allocation Statistical classification Bayesian networks Topic model Mixture model Dirichlet process Linear discriminant analysis Algorithm Gibbs sampling Statistics Statistical natural language processing Statistical models
288	Model Selection in Compositional Spaces by Roger Baker Grosse B.S., Stanford UniversityM.S., Stanford University (2008) Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50 Bayesian statistics Statistical models Generative model Bayes factor Variational Bayesian methods Variational message passing Marginal likelihood Supervised learning Gibbs sampling Statistics Machine learning Probability and statistics
289	Distributed Inference for Latent Dirichlet Allocation David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine newman,asuncion,smyth,welling @ics.uci.ed Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-11-27 13:08:31 Latent Dirichlet allocation Linear discriminant analysis Machine learning Parallel computing Algorithm Gibbs sampling Mixture model Speedup Expectation–maximization algorithm Statistics Statistical natural language processing Statistical classification
290	ewan gibbs opposite: © Ewan Gibbs, courtesy the artist and Timothy Taylor Gallery, London in the studio Add to Reading List Source URL: www.lorareynolds.com Language: English - Date: 2014-09-22 09:45:41 Timothy Taylor Gallery Drawing Edward Hopper

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