Variational Bayesian methods - PDFSEARCH.IO - Document Search Engine

Variational Bayesian methods
Results: 181

#	Item
121	Hierarchic Bayesian Models for Kernel Learning Mark Girolami [removed] Simon Rogers [removed] Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2005-07-12 09:25:54 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
122	Overlapping Mixtures of Gaussian Processes for the Data Association Problem Miguel L´azaro Gredilla Dept. of Signal Theory and Communications Carlos III University of Madrid Legan´es, Spain Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2011-02-11 07:00:19 Variational Bayesian methods Normal distribution Kullback–Leibler divergence Multivariate normal distribution Kalman filter Mixture model Expectation–maximization algorithm Conjugate prior Statistics Bayesian statistics Statistical models
123	A Filtering Approach to Stochastic Variational Inference Neil M.T. Houlsby ∗ Google Research Zurich, Switzerland [removed] Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2014-11-30 04:49:19 Electronic engineering Estimation theory Linear filters Bayesian statistics Markov models Kalman filter Variational Bayesian methods Calculus of variations Robot control Statistics Control theory
124	Bayesian Learning of Model Structure Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London December 2000 http://www.gatsby.ucl.ac.uk/ Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2006-05-16 12:30:14 Bayesian inference Variational Bayesian methods Markov chain Conjugate prior Bayes factor Hyperparameter Exponential family Graphical model Bayesian network Statistics Bayesian statistics Hidden Markov model
125	T HE ISBA B ULLETIN Vol. 21 No. 4 December[removed]The official bulletin of the International Society for Bayesian Analysis Add to Reading List Source URL: bayesian.org Language: English - Date: 2015-01-08 11:16:50 Bayesian probability Zoubin Ghahramani Markov chain Monte Carlo Bayesian inference Expectation propagation Variational Bayesian methods Approximate Bayesian computation Illinois State Bar Association Bayesian statistics Statistics International Society for Bayesian Analysis
126	Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices Jos´e Miguel Hern´andez-Lobato1 Neil Houlsby1 Zoubin Ghahramani Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2014-05-19 20:41:33 Numerical linear algebra Bayesian statistics Matrix theory Matrix Variational Bayesian methods Singular value decomposition Algebra Linear algebra Mathematics
127	Cold-start Active Learning with Robust Ordinal Matrix Factorization Neil Houlsby1 Jos´e Miguel Hern´andez-Lobato1 Zoubin Ghahramani University of Cambridge, Department of Engineering, Cambridge CB2 1PZ, UK Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2014-07-12 13:27:52 Statistical models Regression analysis Markov models Mixture model Kullback–Leibler divergence Variational Bayesian methods Bayesian inference Naive Bayes classifier Principle of maximum entropy Statistics Bayesian statistics Statistical theory
128	Bayesian Inference for Finite-State Transducers∗ David Chiang1 Jonathan Graehl1 Kevin Knight1 Add to Reading List Source URL: www.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
129	Efficient Bayesian Local Model Learning for Control Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2014-08-02 13:19:51 Bayesian statistics Actuarial science Estimation theory Linear regression Bayesian linear regression Local regression Variational Bayesian methods Relevance vector machine Nonparametric regression Statistics Regression analysis Econometrics
130	Hybrid ensemble-variational data assimilation for HWRF - ongoing efforts and plan Mingjing Tong1 Collaborators: David Parrish 2, Daryl Kleist2, Russ Treadon2, Wan-Shu Wu2, John Derber2 Xuyang Ge1, Fuqing Zhang4 Add to Reading List Source URL: www.hfip.org Language: English - Date: 2011-11-21 17:50:17 Statistical forecasting Hurricane Weather Research and Forecasting model Bayesian statistics Estimation theory Weather prediction Monte Carlo methods Data assimilation Ensemble Kalman filter Forecasting Atmospheric sciences Meteorology Statistics

UPDATE