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Sparse matrix
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481	Package ‘biom’ July 2, 2014 Version 0.3.12 Date 2014-02-23 Maintainer Paul J. McMurdie License GPL-2 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 17:10:43 Cross-platform software Scripting languages Biotechnology and Integrating Organizational Medicine Healthcare Mutator method MATLAB JavaScript Sparse matrix Matrix Computing Software Method
482	An introduction to NMF package Version[removed]Renaud Gaujoux March 6, 2014 This vignette presents the NMF package1 (Gaujoux et al. 2010), which implements a framework Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:07:06 Multivariate statistics Linear algebra Matrix theory Non-negative matrix factorization Independent component analysis Singular value decomposition Matrix Sparse matrix Mathematical optimization Algebra Mathematics Statistics
483	Full Regularization Path for Sparse Principal Component Analysis Alexandre d’Aspremont ORFE, Princeton University, Princeton NJ 08544, USA. [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:18 Matrix theory Singular value decomposition Data analysis Operations research Principal component analysis Semidefinite programming Eigenvalues and eigenvectors Variance Linear programming Algebra Mathematics Linear algebra
484	Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi MYUNGJIN @ MIT. EDU Venkat Chandrasekaran VENKATC @ MIT. EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:21 Covariance and correlation Algebra of random variables Graphical models Covariance matrix Markov random field Multivariate normal distribution Sparse matrix Matrix Normal distribution Statistics Probability theory Data analysis
485	Sparse PCA in High Dimensions Jing Lei, Department of Statistics, Carnegie Mellon Workshop on Big Data and Differential Privacy Simons Institute, Dec, [removed]Based on joint work with V. Q. Vu, J. Cho, and K. Rohe) Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:05 Singular value decomposition Data analysis Multivariate statistics Principal component analysis Linear algebra Matrix theory Eigenvalues and eigenvectors Covariance matrix Algebra Statistics Mathematics
486	GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case Tianyi Zhou TIANYI . ZHOU @ STUDENT. UTS . EDU . AU Dacheng Tao DACHENG . TAO @ UTS . EDU . AU Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:35 Numerical linear algebra Singular value decomposition Matrix theory Operator theory Principal component analysis Low-rank approximation Rank Matrix QR decomposition Algebra Linear algebra Mathematics
487	The Optimized Sparse Kernel Interface (OSKI) Library∗ User’s Guide for Version 1.0.1h Richard Vuduc James W. Demmel Katherine A. Yelick Berkeley Benchmarking and OPtimization (BeBOP) Group Add to Reading List Source URL: bebop.cs.berkeley.edu Language: English - Date: 2007-06-27 20:41:16 Numerical linear algebra Numerical software Matrices Oski Basic Linear Algebra Subprograms University of California Berkeley Matrix Array data type Lis Algebra Linear algebra Mathematics
488	An Efficient Sparse Metric Learning in High-Dimensional Space via !1 -Penalized Log-Determinant Regularization Guo-Jun Qi [removed] Depart. ECE, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:51 Matrix theory Matrices Multivariate statistics Linear algebra Data analysis Mahalanobis distance Matrix Multivariate normal distribution Covariance matrix Algebra Statistics Mathematics
489	The pmat package to typeset partitioned matrices Tom´as Oliveira e Silva Universidade de Aveiro Aveiro, Portugal email: [removed] January 1, 1996 Add to Reading List Source URL: gd.tuwien.ac.at Language: English - Date: 2005-06-07 17:00:14 Matrix Linear algebra Matrices Sparse matrices Block matrix
490	5148 MRS Sparse-FFT: Reducing Acquisition Time and Artifacts for In Vivo 2D Correlation Spectroscopy Lixin Shi1, Ovidiu C. Andronesi2, Haitham Hassanieh1, Badih Ghazi1, Dina Katabi1, and Elfar Adalsteinsson1,3 1 Electric Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2013-06-01 01:37:16 Spectroscopy Nuclear magnetic resonance Fast Fourier transform Two-dimensional nuclear magnetic resonance spectroscopy Sparse matrix Science Digital signal processing Mathematical analysis Scientific method

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