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Normal matrix
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#	Item
191	An Information-Theoretic Approach to Traffic Matrix Estimation Yin Zhang Matthew Roughan Carsten Lund David Donoho Add to Reading List Source URL: conferences.sigcomm.org Language: English - Date: 2003-07-24 11:26:26 Internet protocols Internet standards Routing protocols Matrix Inverse problem Routing Kullback–Leibler divergence Normal distribution Regularization Internet Statistics Network architecture
192	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-17 18:22:06 Multivariate normal distribution Normal distribution Kullback–Leibler divergence Covariance matrix Conditional mutual information Conditional entropy Mutual information Joint probability distribution Statistical classification Statistics Information theory Naive Bayes classifier
193	econstor www.econstor.eu Der Open-Access-Publikationsserver der ZBW – Leibniz-Informationszentrum Wirtschaft The Open Access Publication Server of the ZBW – Leibniz Information Centre for Economics Add to Reading List Source URL: www.econstor.eu Language: English - Date: 2013-05-22 03:29:07 Cybernetics Mathematical optimization Multivariate statistics Genetic algorithm Multidimensional scaling Normal distribution Evolutionary algorithm Matrix Variance Statistics Applied mathematics Mathematical sciences
194	Constructing Informative Priors using Transfer Learning Rajat Raina Andrew Y. Ng Daphne Koller Computer Science Department, Stanford University, CA[removed]USA Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2006-05-19 17:48:26 Covariance and correlation Linear filters Regression analysis Kalman filter Multivariate normal distribution Linear regression Covariance matrix Covariance and contravariance Covariance Statistics Data analysis Estimation theory
195	Stat 511 Outline Spring 2004 Steve Vardeman Iowa State University May 5, 2004 Abstract Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2004-05-05 08:53:48 Econometrics Estimation theory Parametric statistics Generalized least squares Ordinary least squares Gauss–Markov theorem Linear least squares Hat matrix Normal distribution Statistics Regression analysis Least squares
196	ROM SIMULATION Exact Moment Simulation using Random Orthogonal Matrices Bachelier Finance Society Meeting Toronto 2010 Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-06-18 08:47:58 Probability theory Data analysis Multivariate normal distribution Normal distribution Skewness Kurtosis Matrix ICMA Centre Orthogonal matrix Statistics Mathematical analysis Matrices
197	MATHEMATICAL METHODS REAL AND COMPLEX MATRICES QUATRADTIC FORMS I YEAR B.Tech Add to Reading List Source URL: sakshieducation.com Language: English - Date: 2012-05-30 09:36:02 Matrices Symmetric matrix Matrix Skew-Hermitian matrix Orthogonal matrix Normal matrix Quadratic form Singular value decomposition Eigenvalues and eigenvectors Algebra Linear algebra Mathematics
198	48190_1_art_file_1_1043849843.p.PDF Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2003-02-18 16:42:27 Variance Covariance matrix Correlation and dependence White noise Covariance Autocorrelation Normal distribution Statistics Covariance and correlation Data analysis
199	Genetic Epidemiology 8:[removed]Efficient Computation of Patterned Covariance Matrix Mixed Models in Quantitative Segregation Analysis Nicholas Schork Add to Reading List Source URL: deepblue.lib.umich.edu Language: English - Date: 2006-05-18 06:58:52 Abstract algebra Linear algebra Estimation theory Data analysis Covariance and correlation Covariance matrix Mixed model Euclidean vector Multivariate normal distribution Statistics Algebra Mathematics
200	PDF Document Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-08-21 10:16:20 Numerical analysis Mathematical optimization Estimation theory Linear least squares Matrix Normal distribution Degrees of freedom Ordinary least squares Errors and residuals in statistics Statistics Regression analysis Least squares

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