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Variational Bayesian methods
Results: 181

#	Item
161	Scalable Inference in Latent Variable Models ∗ Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy, Alexander Smola Yahoo! Research, Santa Clara, CA, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-03-26 21:38:12 Latent variable Gibbs sampling Latent Dirichlet allocation Bayesian network Mixture model Variable Parallel computing Latent class model Variational Bayesian methods Statistics Statistical models Latent variable model
162	THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation Yee Whye Teh Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-10-31 18:54:20 Statistical models Graphical models Variational Bayesian methods Latent Dirichlet allocation Gibbs sampling Bayesian network Normal distribution Marginal likelihood Mixture model Statistics Bayesian statistics Probability and statistics
163	Manifold Relevance Determination Andreas C. Damianou A NDREAS .DAMIANOU @ SHEFFIELD . AC . UK Dept. of Computer Science & Sheffield Institute for Translational Neuroscience, University of Sheffield, UK Carl Henrik Ek KTH Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:52 Multivariate statistics Latent variable Psychometrics Mutual information Principal component analysis Kriging Expectation–maximization algorithm Variational Bayesian methods Statistics Statistical models Bayesian networks
164	Factorized Asymptotic Bayesian Hidden Markov Models Ryohei Fujimaki [removed] NEC Laboratories America, 10080 North Wolfe Road SW3-350, Cupertino, CA[removed]USA Kohei Hayashi Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Statistical theory Expectation–maximization algorithm Missing data Bayesian statistics Variational Bayesian methods Hidden Markov model Gamma distribution Markov chain Latent Dirichlet allocation Statistics Estimation theory Markov models
165	Journal of Machine Learning Research[removed]2014 Submitted 5/07; Revised 6/08; Published 9/08 Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi∗ Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2008-09-30 16:01:51 Expectation–maximization algorithm Missing data Kullback–Leibler divergence Constructible universe Markov chain Function Latent Dirichlet allocation Universal quantification Variational Bayesian methods Statistics Mathematics Estimation theory
166	PDF Document Add to Reading List Source URL: portal.tugraz.at Language: English Statistical theory Bayesian inference Statistical forecasting Estimation theory Variational Bayesian methods Minimum description length Bayesian network One-shot learning Statistics Bayesian statistics Statistical inference
167	PDF Document Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-12 23:22:23 Variational Bayesian methods Bayesian inference Mixture model Gibbs sampling Prior probability Particle filter Statistics Bayesian statistics Probability and statistics
168	IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? [removed]Bayesian Adaptive Inference and Adaptive Training Kai Yu and Mark J. F. Gales Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-10-10 11:14:12 Statistical theory Statistical inference Expectation–maximization algorithm Variational Bayesian methods Empirical Bayes method Maximum likelihood Bayesian inference Confidence interval Marginal likelihood Statistics Bayesian statistics Estimation theory
169	Discriminative Adaptive Training and Bayesian Inference for Speech Recognition Chandra Kant Raut University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-06-10 04:22:31 Machine learning Statistical models Statistical theory Hidden Markov model Speech recognition Expectation–maximization algorithm Maximum likelihood Bayesian network Variational Bayesian methods Statistics Estimation theory Bayesian statistics

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