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Singular distribution
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#	Item
31	A Probabilistic Interpretation of Canonical Correlation Analysis Francis R. Bach Computer Science Division University of California Berkeley, CA 94114, USA Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2005-04-21 15:11:59 Normal distribution Model theory Singular value decomposition Algebra Mathematics Linear algebra
32	Efficient Stochastic Methods: Profiled Attacks Beyond 8 Bits Omar Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2014-10-27 10:40:36 Multivariate statistics Singular value decomposition Data analysis Matrix theory Principal component analysis Linear discriminant analysis Eigenvalues and eigenvectors Multivariate normal distribution Covariance matrix Statistics Algebra Linear algebra
33	Finite sample approximation results for principal component analysis: a matrix perturbation approach Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-01-06 09:59:49 Data analysis Multivariate statistics Matrix theory Singular value decomposition Principal component analysis Eigenvalues and eigenvectors Covariance matrix Multivariate normal distribution Normal distribution Statistics Algebra Linear algebra
34	The stability of a good clustering Marina Meil˘a [removed] University of Washington, Box[removed]Seattle, WA[removed]September 18, 2011 Abstract Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2014-08-01 22:31:53 Data analysis Singular value decomposition Cluster analysis Data mining Geostatistics Spectral clustering K-means clustering Normal distribution Eigenvalues and eigenvectors Statistics Algebra Multivariate statistics
35	Factorized Diffusion Map Approximation Saeed Amizadeh Intelligent Systems Program University of Pittsburgh Pittsburgh, PA 15213 Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2015-01-06 16:24:34 Multivariate statistics Singular value decomposition Linear algebra Matrix theory Data analysis Laplace operator Principal component analysis Eigenvalues and eigenvectors Normal distribution Algebra Mathematics Statistics
36	12 Function Fitting The goal of function fitting is to choose values for the parameters in a function to best describe a set of data. There are many possible reasons to do this. If a specific meaningful form for the fun Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-13 17:53:09 Regression analysis Least squares Numerical linear algebra Singular value decomposition Normal distribution Linear least squares Non-linear least squares Kernel Ordinary least squares Algebra Linear algebra Statistics
37	REVISITING THE NYSTRÖM METHOD FOR IMPROVED LARGE-SCALE MACHINE LEARNING arXiv:1303.1849v2 [cs.LG] 3 Jun 2013 ALEX GITTENS1 AND MICHAEL W. MAHONEY2 ABSTRACT. We reconsider randomized algorithms for the low-rank approxim Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-06-04 22:04:47 Matrix theory Numerical linear algebra Normal distribution Matrix Eigendecomposition of a matrix Rank QR decomposition Singular value decomposition Algebra Mathematics Linear algebra
38	The Uniqueness of a Good Optimum for K-Means Marina Meil˘ a [removed] University of Washington, Department of Statistics, Box[removed], Seattle, WA[removed]USA Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-20 23:31:13 Data analysis Singular value decomposition Cluster analysis Data mining Geostatistics Principal component analysis K-means clustering Normal distribution Eigenvalues and eigenvectors Statistics Algebra Multivariate statistics
39	Data-Dependent Fairing of Subdivision Surfaces Ilja Friedel1 Caltech Patrick Mullen2 Microsoft Add to Reading List Source URL: www.multires.caltech.edu Language: English - Date: 2003-04-28 17:28:50 Linear algebra Matrix theory Functional analysis Eigenvalues and eigenvectors Singular value decomposition Calculus of variations Parametric surface Differential geometry of surfaces Distribution Algebra Mathematics Mathematical analysis
40	On optimal precoding in linear vector Gaussian channels with arbitrary input distribution Miquel Payar´o Daniel P. Palomar Add to Reading List Source URL: www.ece.ust.hk Language: English - Date: 2009-06-12 05:49:49 Matrix theory Multivariate statistics Data analysis Singular value decomposition Covariance matrix Multivariate random variable Matrix Eigenvalues and eigenvectors Channel state information Algebra Mathematics Linear algebra

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