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Mixture model
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#	Item
731	CFE-ERCIM PROGRAMME CHANGES • Cancellations: Abstract C135: H. Suenaga. Estimating a term-structure model of commodity prices with heteroskedastic measurement error. Session CS76. Modelling the term structure of intere Add to Reading List Source URL: www.cmstatistics.org Language: English - Date: 2013-12-13 11:12:59 Time series Autoregressive conditional heteroskedasticity Regression analysis Scientific modelling Economic model Bayesian econometrics Mixture model Dynamic stochastic general equilibrium Statistics Econometrics Economics
732	PHD for Physical and Chemical Properties (OV-07 Logical Data Model Subject Area) Add to Reading List Source URL: www.acq.osd.mil Language: English Olfaction Solubility Chemical substance Mixture Properties of water Vapor Odor Explosive material Mole Chemistry Solutions Physical chemistry
733	COMPUTATIONAL STATISTICS AND DATA ANALYSIS CALL FOR PAPERS 3rd Special Issue on ADVANCES IN MIXTURE MODELS http://www.journals.elsevier.com/locate/csda We are inviting submissions for a special issue of Computational Sta Add to Reading List Source URL: www.cmstatistics.org Language: English - Date: 2014-02-05 04:13:28 Cluster analysis Mixture model Scientific modelling Expectation–maximization algorithm Data analysis Statistics Probability and statistics Machine learning
734	CUDA-level Performance with Python-level Productivity for Gaussian Mixture Model Applications H. Cook, E. Gonina, S. Kamil, G. Friedland† , D. Patterson, and A. Fox Parallel Computing Laboratory, Computer Science Divis Add to Reading List Source URL: www.usenix.org Language: English - Date: 2011-04-22 17:11:38 GPGPU Procedural programming languages Object-oriented programming Nvidia Video cards CUDA Covariance and contravariance Parallel computing ALGOL 68 Computing Software engineering Computer programming
735	Gaussian Process Product Models for Nonparametric Nonstationarity Ryan Prescott Adams Oliver Stegle Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-13 10:11:12 Linear filters Exponentials Regression analysis Gaussian process Normal distribution Kalman filter Linear regression Kriging Mixture model Statistics Estimation theory Econometrics
736	Automated Hierarchical Mixtures of Probabilistic Principal Component Analyzers Ting Su [removed] Jennifer G. Dy Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:35 Multivariate statistics Estimation theory Cluster analysis K-means clustering Mixture model Expectation–maximization algorithm Hierarchical clustering Bayesian information criterion Principal component analysis Statistics Machine learning Data analysis
737	Bayesian Haplotype Inference via the Dirichlet Process Eric Xing† [removed] Roded Sharan† [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:48 Population genetics Genetic genealogy Haplotype Dirichlet process Mixture model Expectation–maximization algorithm Gibbs sampling Dirichlet distribution Hardy–Weinberg principle Statistics Genetics Classical genetics
738	1 Expectation-Maximization Algorithm and Image Segmentation Daozheng Chen In computer vision, image segmentation problem is to partition a digital image Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2013-03-06 15:23:54 Bayesian statistics Multivariate statistics Cluster analysis Expectation–maximization algorithm Maximum likelihood K-means clustering Mixture model Segmentation Likelihood function Statistics Estimation theory Machine learning
739	Discovering Latent Structure in Task-Oriented Dialogues Ke Zhai∗ Jason D. Williams Computer Science, University of Maryland Microsoft Research College Park, MD 20740 Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-04-23 13:20:38 Machine learning Statistical natural language processing Computational linguistics Bioinformatics Hidden Markov model Vehicle Identification Number Speech recognition Language model Mixture model Statistics Markov models Probability and statistics
740	Variable Selection in Model-Based Clustering: To Do or To Facilitate Leonard K. M. Poon† [removed] Nevin L. Zhang† [removed] Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:41 Multivariate statistics Cluster analysis Psychometrics Latent class model Expectation–maximization algorithm Latent variable Mixture model Mutual information Data analysis Statistics Statistical models Machine learning

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