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Random matrix
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31	JMLR: Workshop and Conference Proceedings vol 40:1–14, 2015 Variable Selection is Hard Dean P. Foster DEAN @ FOSTER . NET Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Linear algebra Projection Matrix Multivariate random variable Linear combination Basis Vector space Euclidean algorithm Polynomial greatest common divisor
32	Diameter of random spanning trees in a given graph Fan Chung ∗ Add to Reading List Source URL: web.cs.du.edu Language: English - Date: 2010-11-16 10:22:29 Stochastic processes Spanning tree Algebraic graph theory Loop-erased random walk Graph coloring Random walk Random graph Laplacian matrix Regular graph Tree Two-graph
33	FROM RANDOM MATRICES TO STOCHASTIC OPERATORS ALAN EDELMAN AND BRIAN D. SUTTON Abstract. We propose that classical random matrix models are properly viewed as finite difference schemes for stochastic differential operator Add to Reading List Source URL: faculty.rmc.edu Language: English - Date: 2007-08-01 16:12:27 Mathematical physics Matrices Random matrices Singular value decomposition Linear algebra Random matrix Matrix Alan Edelman Eigenvalues and eigenvectors Hermitian matrix Symmetric matrix Singular value
34	Learning MATLAB by doing MATLAB∗ October 5, 2015 Download MATLAB from http://www.stud-ides.ethz.ch. 1. Variables, Vectors, Matrices >a=7 Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-10-05 07:33:58 Matrix theory Linear algebra Numerical linear algebra MATLAB Matrix Trace Determinant Reflected Brownian motion Multivariate random variable
35	Spectral Graph Theory Lecture 17 Sparsification by Effective Resistance Sampling Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-11-03 13:58:23 Linear algebra Chernoff bound Matrix Trace Exponentiation Random matrix
36	Searching for information hidden in multivariate data Mgr. Radoslav Harman, PhD. Department of Applied Mathematics and Statistics Faculty of Mathematics, Physics and Informatics Comenius University Bratislava Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2011-05-02 15:34:17 Multivariate statistics Probability distributions Covariance and correlation Stable distributions Algebra of random variables Principal component analysis Multivariate normal distribution Covariance matrix Multivariate random variable Eigenvalues and eigenvectors Vector Eigenface
37	arXiv:1309.6224v2 [math-ph] 8 OctCentral Limit Theorems for Biorthogonal Ensembles and Asymptotics of Recurrence Coefficients Jonathan Breuer∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-08 23:50:09 Algebra Orthogonal polynomials Biorthogonal polynomial Recurrence relation Central limit theorem Polynomial Random matrix Chebyshev polynomials Fundamental theorem of algebra
38	Spectral Distribution of Pseudo-random Matrices Vahid Tarokh Harvard University, USA Abstract In the previous century, much work has been done on the spectra of random matrices. However, not much is known about the spect Add to Reading List Source URL: seta2012.uwaterloo.ca Language: English - Date: 2012-02-01 23:18:51 Randomness Statistical randomness Probability theory Random matrices Algorithmic information theory Randomness tests Matrix Random sequence Pseudorandomness Random matrix Exchangeable random variables Circular law
39	arXiv:math-ph/0507036v2 25 NovRandom discrete Schr¨ odinger operators from Random Matrix Theory Jonathan Breuer 1 , Peter J. Forrester Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-07 02:19:08 Mathematical physics Matrix theory Spectral theory Matrices Linear algebra Eigenvalues and eigenvectors Eigenfunction Diagonal matrix Random matrix Matrix Spectrum Symmetric matrix
40	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2015-06-10 07:44:40 Dimension reduction Machine learning Statistical classification Multivariate statistics Naive Bayes classifier Pattern recognition Random projection Nonlinear dimensionality reduction Principal component analysis Matrix JohnsonLindenstrauss lemma Compressed sensing

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