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Variational Bayesian methods
Results: 181

#	Item
151	Online Polylingual Topic Models for Fast Document Translation Detection Kriste Krstovski School of Computer Science University of Massachusetts Amherst Amherst, MA, [removed]removed] Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-07-25 09:32:19 Latent Dirichlet allocation Topic model Kullback–Leibler divergence Gibbs sampling Hellinger distance Variational Bayesian methods Probabilistic latent semantic analysis Expectation–maximization algorithm Information retrieval Statistics Statistical natural language processing Dynamic topic model
152	Computational Aspects of Bayesian Partition Models Mikko Koivisto [removed] HIIT Basic Research Unit, Dept. of Computer Science, University of Helsinki, FIN[removed]Helsinki, Finland Kismat Sood Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:52 Model selection Bayesian network Networks Bayesian inference Regression analysis Algorithm Feature selection Partition Variational Bayesian methods Statistics Bayesian statistics Statistical models
153	Variational Bayesian Image Modelling Li Cheng Department of Computing Science, University of Alberta, Canada Feng Jiao School of Computer Science, University of Waterloo, Canada Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:09 Model selection Estimation theory Statistical theory Expectation–maximization algorithm Gamma distribution Variational Bayesian methods Bayesian information criterion Conjugate prior Kullback–Leibler divergence Statistics Bayesian statistics Bayesian inference
154	Ke Zhai and Jordan Boyd-Graber. Online Topic Models with Infinite Vocabulary. International Conference on Machine Learning, 2013. @inproceedings{Zhai:Boyd-Graber-2013, Title = {Online Topic Models with Infinite Vocabular Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Dynamic topic model Latent Dirichlet allocation Topic model Dirichlet process Mixture model Dirichlet distribution Variational Bayesian methods Information retrieval Prior probability Statistics Probability and statistics Statistical natural language processing
155	Yuening Hu, Ke Zhai, Vlad Eidelman, and Jordan Boyd-Graber. Polylingual Tree-Based Topic Models for Translation Domain Adaptation. Association for Computational Linguistics, 2014. @inproceedings{Hu:Zhai:Eidelman:Boyd-Gra Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:37 Artificial intelligence Latent Dirichlet allocation Topic model Language model Statistical machine translation Word-sense disambiguation Variational Bayesian methods Markov chain Machine translation Statistical natural language processing Statistics Science
156	1 Scaling Multidimensional Inference for Structured Gaussian Processes arXiv:1209.4120v2 [stat.ML] 21 Sep 2012 Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2013-09-30 04:39:56 Estimation theory Bayesian statistics Backfitting algorithm Numerical linear algebra Expectation–maximization algorithm Additive model Variational Bayesian methods Poisson regression Markov chain Statistics Regression analysis Econometrics
157	Hierarchic Bayesian Models for Kernel Learning Mark Girolami [removed] Simon Rogers [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:02 Regression analysis Support vector machine Relevance vector machine Gamma distribution Normal distribution Bayesian linear regression Kernel methods Variational Bayesian methods Kernel Statistics Bayesian statistics Statistical classification
158	David M. Blei Princeton University Department of Computer Science 35 Olden Street Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2014-04-06 15:27:19 Dynamic topic model Latent Dirichlet allocation Pachinko allocation Machine learning Dirichlet process Neural network Bayesian inference Mixture model Variational Bayesian methods Statistics Statistical natural language processing Topic model
159	MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification Jun Zhu†∗ [removed] Amr Ahmed† [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-07 15:41:06 Estimation theory Latent Dirichlet allocation Topic model Expectation–maximization algorithm Support vector machine Variational Bayesian methods Linear discriminant analysis Errors-in-variables models Dynamic topic model Statistics Statistical natural language processing Statistical classification
160	Bayesian Inference for Finite-State Transducers∗ David Chiang1 Jonathan Graehl1 Kevin Knight1 Add to Reading List Source URL: aclweb.org Language: English - Date: 2010-06-14 21:27:14 Statistical inference Statistical theory Machine learning Expectation–maximization algorithm Gibbs sampling Hidden Markov model Bayesian inference Variational Bayesian methods Pattern recognition Statistics Bayesian statistics Estimation theory

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