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Mixture model
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#	Item
721	CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT Uncertainty Decoding for Noise Robust Automatic Speech Recognition Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-01-06 10:37:32 Estimation theory Computer vision Computer accessibility Speech recognition Normal distribution Hidden Markov model Mixture model Signal-to-noise ratio Image noise Statistics Noise Econometrics
722	COMPARISON OF DISCRIMINATIVE TRAINING CRITERIA Ralf Schl¨uter and Wolfgang Macherey Lehrstuhl f¨ur Informatik VI RWTH Aachen – University of Technology D[removed]Aachen, Germany Email: [removed]-aachen. Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Computer accessibility Speech recognition Hidden Markov model Mixture distribution Mutual information SL Applied mathematics Science Humanâ€“computer interaction Computational linguistics Markov models Automatic identification and data capture
723	Independent Component Analysis (ICA) of EEG, Concepts and Methods Part 2 – Methods Jason Palmer Swartz Center for Computational Neuroscience Add to Reading List Source URL: sccn.ucsd.edu Language: English - Date: 2010-11-18 19:07:31 Signal processing Statistical models Multivariate statistics EEGLAB Time series analysis Independent component analysis Eigenvalues and eigenvectors Mixture model Maximum likelihood Statistics Algebra Data analysis
724	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 04:12:17 Cluster analysis Mixture model Scientific modelling Expectation–maximization algorithm Data analysis Statistics Probability and statistics Machine learning
725	A COMBINED MAXIMUM MUTUAL INFORMATION AND MAXIMUM LIKELIHOOD APPROACH FOR MIXTURE DENSITY SPLITTING Ralf Schl¨uter, Wolfgang Macherey, Boris M¨uller and Hermann Ney Lehrstuhl f¨ur Informatik VI, RWTH Aachen – Univer Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Statistical natural language processing Probability and statistics Automatic identification and data capture Computer accessibility Speech recognition Mutual information Hidden Markov model Mixture distribution Language model Markov models Statistics Science
726	FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R Friedrich Leisch Universit¨at f¨ ur Bodenkultur Wien Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 11:27:12 Econometrics Statistical models Actuarial science Mixture model Expectation–maximization algorithm Poisson regression Generalized linear model Maximum likelihood Linear regression Statistics Estimation theory Regression analysis
727	LongMissingLS_SAS_SPSSc.DVI Add to Reading List Source URL: webcast.hrsa.gov Language: English - Date: 2010-12-06 10:32:00 Machine learning Scientific modeling Statistical theory Data analysis Economic model Ignorability Regression analysis Mixture model Variance Statistics Statistical models Econometrics
728	Exploratory data analysis for complex models∗ Andrew Gelman, Department of Statistics, Columbia University, New York, NY[removed]April 13, 2004 Abstract “Exploratory” and “confirmatory” data analysis can both be Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-04-19 22:32:37 Data analysis Econometrics Estimation theory Exploratory data analysis Statistical model Linear regression Statistical inference Mixture model Maximum likelihood Statistics Statistical theory Regression analysis
729	The Journal of Wildlife Management 9999:1–9; 2011; DOI: [removed]jwmg.317 Note A Framework for Inference About Carnivore Density From Unstructured Spatial Sampling Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2013-02-21 19:35:15 Survey methodology Estimation theory Maximum a posteriori estimation Mixture model Sample size determination Statistics Statistical inference Sampling
730	Subject Index original example, 30 Bayesian data analysis, three steps of, 3 Bayesian filtering and smoothing, 516 Behrens–Fisher problem, 80 belief functions, 98 Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-09-18 03:45:49 Empirical Bayes method Conjugate prior Linear regression Mixture model Deviance information criterion Calibration Gibbs sampling Bootstrapping Nonparametric regression Statistics Regression analysis Generalized linear model

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