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Mixture model
Results: 969

#	Item
611	IEEE SIGNAL PROCESSING LETTERS, VOL. X, NO. X, [removed]Probabilistic Linear Discriminant Analysis for Acoustic Modelling Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-07 20:20:30 Markov models Statistical models Statistical classification Speech recognition Hidden Markov model Mixture model Linear discriminant analysis Generalized method of moments Mel-frequency cepstrum Statistics Estimation theory Bayesian statistics
612	A correlated topic model of SCIENCE Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Latent Dirichlet allocation Mixture model Topic model Expectation–maximization algorithm Dirichlet distribution Exponential family Gibbs sampling Information retrieval Dynamic topic model Statistics Statistical natural language processing Probability and statistics
613	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling Sinead Williamson Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, UK Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Hidden Markov model Concentration parameter Normal distribution Topic model Golden ratio Statistics Probability and statistics Statistical natural language processing
614	Journal of Machine Learning Research[removed]Submitted 9/09, Revised 7/10, 1/11; Published 5/11 Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-05-04 16:20:09 Nonparametric regression Linear regression Poisson regression Dirichlet process Mixture model Degrees of freedom Statistical power Bayesian linear regression Variance inflation factor Statistics Regression analysis Generalized linear model
615	Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Sam Patterson Gatsby Computational Neuroscience Unit University College London [removed] Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Statistical models Markov models Statistical natural language processing Expectation–maximization algorithm Markov chain Monte Carlo Fisher information Mixture model Markov chain Latent Dirichlet allocation Statistics Estimation theory Bayesian statistics
616	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
617	Microsoft Word - Chu_Zhao_Kim Regional typhoon activity and climate change.… Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2013-10-29 16:26:27 Expectation–maximization algorithm Missing data Gamma distribution Normal distribution Tropical cyclone Mixture model Multivariate normal distribution Statistics Probability and statistics Estimation theory
618	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-reso Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-07 19:59:18 Markov models Regression analysis Automatic identification and data capture Speech recognition Hidden Markov model Mixture model Linear regression Maximum likelihood Conjugate prior Statistics Computational linguistics Estimation theory
619	Nonparametric Variational Inference Samuel J. Gershman [removed] Department of Psychology, Princeton University, Green Hall, Princeton, NJ[removed]USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-06-05 15:28:29 Estimation theory Statistical models Statistical theory Variational Bayesian methods Probability theory Conjugate prior Mixture model Marginal likelihood Kullback–Leibler divergence Statistics Bayesian statistics Probability and statistics
620	INTERSPEECH[removed]Inﬁnite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-09-24 18:34:41 Stochastic processes Statistical classification Statistical theory Mixture model Parametric model Dirichlet process Hidden Markov model Generative model Support vector machine Statistics Statistical models Machine learning

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