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Gibbs sampling
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141	A fast learning algorithm for deep belief nets ∗ Geoffrey E. Hinton and Simon Osindero Yee-Whye Teh Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-10-31 15:01:14 Boltzmann machine Backpropagation Generative model Artificial neuron Independent component analysis Diffusion networks Gibbs sampling Pattern recognition Expectation–maximization algorithm Neural networks Statistics Machine learning
142	Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking Emily B. Fox David S. Choi Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:48 Markov models Dirichlet process Mixture model Dirichlet distribution Markov chain Concentration parameter Gibbs sampling Poisson distribution Bayesian inference Statistics Stochastic processes Bayesian statistics
143	Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:10:48 Bayesian network Bayesian inference Bayesian probability Machine learning Hierarchical Bayes model Hidden Markov model Causality Naive Bayes classifier Gibbs sampling Statistics Bayesian statistics Probabilistic logic
144	Weighting for the Guatemalan National Police Archive Sample: Unusual Challenges and Problems Gary Shapiro, Daniel Guzm´ an, Paul Zador, Tamy Guberek, Megan Price and Kristian Lum∗ Abstract This paper describes the wei Add to Reading List Source URL: hrdag.org Language: English - Date: 2013-03-03 14:33:14 Sampling Markov chain Monte Carlo Probability theory Lua Gibbs sampling Mean Variance Survey sampling Sample size determination Statistics Software Survey methodology
145	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.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Chinese restaurant process Mixture model Gibbs sampling Statistics Stochastic processes Dirichlet process
146	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.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian networks Variational Bayesian methods Variational message passing Operations research Gibbs sampling Normal distribution Mathematical optimization Score Stochastic optimization Statistics Estimation theory Bayesian statistics
147	Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Variational Bayesian methods Statistical models Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model Bayesian inference Exponential family Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
148	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
149	egu_logo_without_circle_grey Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 03:50:19 Econometrics Actuarial science Linear regression Bayesian linear regression Regularization Hierarchical Bayes model Gibbs sampling Statistics Regression analysis Bayesian statistics
150	University of California, Irvine Statistics Seminar Almost Everything You Always Wanted to Know about NONLINEAR STATE SPACE MODELS (but were afraid to ask) David Stoffer Add to Reading List Source URL: www.stat.uci.edu Language: English - Date: 2015-03-31 15:43:39 Monte Carlo methods Statistical theory Particle filter Robot control Bayesian inference Gibbs sampling Inference Statistics Computational statistics Bayesian statistics

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