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Multivariate normal distribution
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#	Item
381	SUBMITTED TO IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Speaker and Noise Factorisation for Robust Speech Recognition Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-04-25 06:59:39 Noise Estimation theory Multivariate normal distribution Speech recognition Maximum likelihood Autoregressive model Statistics Probability and statistics Normal distribution
382	Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:29 Machine learning Information theory Operator theory Kullback–Leibler divergence Thermodynamics Empirical risk minimization Entropy Hilbert space Multivariate normal distribution Statistics Statistical theory Probability and statistics
383	Domain Adaptation with Multiple Sources Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:22 Multivariate normal distribution Statistical hypothesis testing Statistics Mathematical analysis Mixture distribution
384	Linear Discriminant Analysis Linear Discriminant Analysis Jia Li Department of Statistics The Pennsylvania State University Add to Reading List Source URL: sites.stat.psu.edu Language: English - Date: 2008-09-09 12:52:18 Algebraic number theory Linear discriminant analysis Normal distribution Multivariate normal distribution Discriminant Statistics Multivariate statistics Statistical classification
385	Zucchini, Schmidt35(2) and vonresearch Gadow articles Silva Fennica Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 06:57:55 Statistical theory Statistical models Probability distributions Multivariate normal distribution Normal distribution Errors and residuals in statistics Mixture model Joint probability distribution Mixture distribution Statistics Estimation theory Regression analysis
386	Package ‘DepthProc’ November 11, 2014 Version[removed]Date[removed]Title DepthProc Author Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-11 11:41:05 Probability theory Econometrics Normal distribution Multivariate normal distribution Regression analysis Q-Q plot Variance Kernel density estimation Covariance matrix Statistics Data analysis Non-parametric statistics
387	Learning Mixtures of Spherical Gaussians: Moment Methods and Spectral Decompositions [Extended Abstract] Daniel Hsu Sham M. Kakade Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Multivariate normal distribution Normal distribution Central limit theorem Covariance Diagonal matrix Statistics Probability theory Mathematical analysis
388	Multiple Source Adaptation and the R´enyi Divergence Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:32 Kullback–Leibler divergence Statistical theory Thermodynamics Closed and exact differential forms Multivariate normal distribution Divergence Mixture distribution Distribution Vector space Algebra Mathematics Statistics
389	February 20, 2014 Time: 10:27am chapter1.tex Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2014-04-07 17:17:34 Probability distributions Bayesian statistics Mixture distribution Mixture model Normal distribution Likelihood function Maximum likelihood Multivariate normal distribution Bimodal distribution Statistics Probability and statistics Estimation theory
390	Package ‘symmoments’ August 4, 2014 Type Package Title Symbolic central and noncentral moments of the multivariate normal distribution Version 1.2 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-04 09:29:57 Normal distribution Polynomial Central moment Covariance matrix Variance Matrix Statistics Data analysis Multivariate normal distribution

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