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Mixture distribution
Results: 365

#	Item
51	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-12-12 11:45:48 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling
52	Mon.O1b.04 Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts Add to Reading List Source URL: www.fit.vutbr.cz Language: English - Date: 2012-09-27 10:17:05 Machine learning Computational linguistics Vectors Statistical classification Probability distributions N-gram Speech recognition Multinomial distribution Mixture model Language model Support vector machine Euclidean vector
53	PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS OF I-VECTOR POSTERIOR DISTRIBUTIONS Add to Reading List Source URL: www.fit.vutbr.cz Language: English - Date: 2013-06-11 09:46:40 Statistics Probability Algebra Covariance and correlation Probability distributions Algebra of random variables Abstract algebra Linear algebra Normal distribution Covariance Mixture model Euclidean vector
54	Discrete Mixtures Models Stephane Hess, ETHZ Michel Bierlaire, EPFL John W. Polak, Imperial College Conference paper STRC 2006 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-28 02:03:58 Statistics Statistical models Estimation theory Bayesian statistics Machine learning Regression analysis Discrete choice Choice modelling Probability distribution Mixture model Likelihood function Stochastic process
55	LNCSActive Matching Add to Reading List Source URL: www.margaritachli.com Language: English - Date: 2011-06-29 13:31:43 Statistics Probability Mathematical analysis Statistical models Linear filters Cluster analysis Machine learning Mixture model Kalman filter Normal distribution Difference of Gaussians
56	Simulation of Database-Valued Markov Chains Using SimSQL Zhuhua Cai Zografoula Vagena Add to Reading List Source URL: developer.logicblox.com Language: English - Date: 2013-10-18 16:33:31 SQL keywords Probability distributions Statistical models Latent Dirichlet allocation Statistical natural language processing Multinomial distribution Markov chain Mixture model Select Query optimization Gibbs sampling Bayesian inference
57	Influence-based Network-oblivious Community Detection Nicola Barbieri Yahoo Labs, Barcelona, Spain Add to Reading List Source URL: www.francescobonchi.com Language: English - Date: 2013-10-23 04:36:36 Estimation theory Statistical models Gamma distribution Maximum likelihood estimation Mixture model Expectationmaximization algorithm
58	Dirichlet Distribution, Dirichlet Process and Dirichlet Process Mixture Leon Gu CSD, CMU Binomial and Multinomial Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-04-29 13:03:18
59	Variational Inference with Normalizing Flows Danilo Jimenez Rezende Shakir Mohamed Google DeepMind, London Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Statistics Probability Statistical models Graphical models Probability distributions Variational Bayesian methods Bayesian network Expectationmaximization algorithm Normal distribution Mixture model Exponential family Bayesian inference
60	Exchangeable Inconsistent Priors for Bayesian Posterior Inference Max Welling Ian Porteous Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-02-01 15:33:24 Dirichlet process Poisson distribution Principle of maximum entropy Prior probability Normal distribution Mixture model Gibbs sampling Empirical Bayes method Bayesian inference Statistics Probability and statistics Bayesian statistics

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