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Mixture model
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#	Item
821	Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner Add to Reading List Source URL: www.eew.caltech.edu Language: English - Date: 2012-05-15 11:47:37 Maximum likelihood Mixture model Normal distribution K-means clustering Time complexity Data stream clustering Maximum spacing estimation Statistics Estimation theory Expectation–maximization algorithm
822	PDF Document Add to Reading List Source URL: transatlantic.sais-jhu.edu Language: English Multivariate statistics Data mining Geostatistics K-means clustering Fuzzy clustering Hierarchical clustering Single-linkage clustering Mixture model Computer cluster Statistics Cluster analysis Machine learning
823	PDF Document Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2008-11-30 10:36:48 Categorical data Data analysis Normal distribution Contingency table Mixture model Polychoric correlation Parametric model Multivariate normal distribution Regression analysis Statistics Statistical models Econometrics
824	PDF Document Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-12 23:22:23 Variational Bayesian methods Bayesian inference Mixture model Gibbs sampling Prior probability Particle filter Statistics Bayesian statistics Probability and statistics
825	NIST Standard Reference Database 73 REFLEAK: NIST Leak/Recharge Simulation Model for Refrigerant Mixtures Version 4.0 Add to Reading List Source URL: www.nist.gov Language: English - Date: 2012-01-09 14:39:55 Chemical engineering Thermodynamics Refrigerant National Institute of Standards and Technology Refrigeration Heating ventilating and air conditioning Chemistry Zeotropic mixture
826	Importance Sampling to Compute Likelihoods of Noise-Corrupted SpeechI R. C. van Dalen∗, M. J. F. Gales Engineering Department, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, United Kingdom Abstract One Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:17 Digital signal processing Fourier analysis Normal distribution Estimation theory Central limit theorem Maximum likelihood Dirac delta function Multivariate normal distribution Mixture model Statistics Mathematical analysis Probability and statistics
827	Department of Engineering 1 A theoretical bound for noise-robust speech recognition R. C. van Dalen Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:14 Statistical models Computer accessibility Speech recognition Estimation theory Additive white Gaussian noise Mixture model Maximum likelihood Statistics Probability and statistics Noise
828	Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College May 2004 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:17:08 Hidden Markov model Kalman filter Markov chain Mixture model Expectation–maximization algorithm Maximum likelihood Generalized method of moments Dynamical system Matrix Statistics Markov models Estimation theory
829	R Foundations and Trends in Signal Processing Vol. 1, No[removed]–304 c 2008 M. Gales and S. Young Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2008-03-19 15:01:36 Science Probability and statistics Computational linguistics Bioinformatics Hidden Markov model HTK Markov chain Mixture model HMM Statistics Markov models Speech recognition
830	A Gaussian Mixture Model Spectral Representation for Speech Recognition Matthew Nicholas Stuttle Hughes Hall Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:22:55 Abstract algebra Linear algebra Computational linguistics Estimation theory Formant Speech recognition Vector space Mixture model Generalized method of moments Algebra Mathematics Vectors

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