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Gibbs sampling
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#	Item
201	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
202	Bulletin of Mathematical Biology[removed]: 297–321 DOI[removed]s11538[removed]O R I G I N A L A RT I C L E Markov Random Field Modeling of the Spatial Distribution of Proteins on Cell Membranes Add to Reading List Source URL: www.cs.unm.edu Language: English - Date: 2013-08-20 17:04:40 Probability theory Markov processes Graphical models Artificial intelligence Hidden Markov model Markov random field Gibbs sampling Random field Expectation–maximization algorithm Statistics Probability and statistics Markov models
203	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 35, NO. 8, AUGUST 2013 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2014-03-17 12:44:23 Gibbs sampling Markov chain Monte Carlo Bayesian inference Layers Hierarchical Bayes model Pattern recognition Statistics Bayesian statistics Machine learning
204	Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto, Ontario, Canada. Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-11-19 21:06:13 Machine learning Estimation theory Statistical theory Expectation–maximization algorithm Bayesian network Gibbs sampling Perceptron Kullback–Leibler divergence Mixture model Statistics Statistical models Neural networks
205	Journal of Machine Learning Research[removed]3232 Submitted 9/12; Revised 7/13; Published[removed]Fast MCMC Sampling for Markov Jump Processes and Extensions Vinayak Rao∗ Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Markov chain Continuous-time Markov process Poisson process Uniformization Hidden Markov model Markov property Gibbs sampling Stochastic process Stochastic matrix Statistics Markov processes Markov models
206	Black Box Variational Inference Rajesh Ranganath Sean Gerrish David M. Blei Princeton University, 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2014-03-17 12:44:23 Bayesian networks Variational Bayesian methods Variational message passing Operations research Gibbs sampling Normal distribution Mathematical optimization Score Stochastic optimization Statistics Estimation theory Bayesian statistics
207	Distance dependent Chinese restaurant processes David M. Blei Department of Computer Science, Princeton University 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Chinese restaurant process Mixture model Gibbs sampling Statistics Stochastic processes Dirichlet process
208	Usher: Improving Data Quality with Dynamic Forms Kuang Chen #1 , Harr Chen ∗2 , Neil Conway #3 , Joseph M. Hellerstein #4 , Tapan S. Parikh +5 # Department of Electrical Engineering and Computer Science, University of Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-10-20 13:58:57 Statistical inference Statistical models Bayesian network Causality Gibbs sampling Bootstrapping Bayesian inference Entropy Normal distribution Statistics Bayesian statistics Statistical theory
209	bartMachine: Machine Learning with Bayesian Additive Regression Trees Adam Kapelner Justin Bleich Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-05 16:15:52 Decision trees Regression analysis Model selection Linear regression Random forest Gibbs sampling Decision tree learning Cross-validation Statistics Machine learning Econometrics
210	Journal of Machine Learning Research[removed]1828 Submitted 6/08; Revised 2/09; Published 8/09 Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-08-24 20:16:36 Topic model Mixture model Dirichlet process Linear discriminant analysis Gibbs sampling Parallel computing Dirichlet distribution Algorithm Multi-core processor Statistics Statistical natural language processing Latent Dirichlet allocation

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