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Multivariate analysis
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#	Item
281	BIO Web of Conferences 1, DOI: bioconf © Owned by the authors, published by EDP Sciences, 2011 Can Principal Component Analysis be Applied in Real Time to Reduce the Dimension of Human M Add to Reading List Source URL: www.bio-conferences.org Language: English Machine learning Principal component analysis Singular value decomposition Dimension reduction Variance Cross-validation Analysis Statistics Multivariate statistics Data analysis
282	The Geometric Median on Riemannian Manifolds with Application to Robust Atlas Estimation P. Thomas Fletcher a,∗ Suresh Venkatasubramanian a Sarang Joshi a a University of Utah, Salt Lake City, Utah, United States Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-08-03 03:49:53 Riemannian geometry Multivariate statistics Curvature Differential topology Geometric median Riemannian manifold Sectional curvature Tensor Principal component analysis Geometry Differential geometry Mathematical analysis
283	Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling† ∗ Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-09 01:39:03 Cluster analysis Data analysis Estimation theory Expectation–maximization algorithm Dirichlet process Variational Bayesian methods Mixture model Principal component analysis Kernel principal component analysis Statistics Multivariate statistics Machine learning
284	Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-12-26 22:59:57 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics
285	Efficient Multivariate Analysis of Change Points The e-cp3o procedure Nicholas A. James Operations Research https://courses.cit.cornell.edu/nj89 Add to Reading List Source URL: www.rinfinance.com Language: English - Date: 2015-06-04 06:40:52
286	HOW TO USE THE BLACK BOX by Keith T. Poole Graduate School of Industrial Administration Add to Reading List Source URL: www.voteview.com Language: English - Date: 2012-06-14 10:25:58 Matrix theory Singular value decomposition Numerical linear algebra Multivariate statistics Matrix Principal component analysis Eigenvalues and eigenvectors Diagonal matrix Factor analysis Algebra Linear algebra Mathematics
287	Glossary of Multivariate Statistical Methods An invaluable overview of the main terms and methods used in Multivariate Data Analysis Add to Reading List Source URL: www.camo.com Language: English - Date: 2011-03-31 04:39:32 Statistical methods Multivariate statistics Design of experiments Linear regression Multivariate analysis Calibration Analysis of variance Data analysis Instrumental variable Statistics Regression analysis Econometrics
288	Large-Scale Manifold Learning Ameet Talwalkar Courant Institute New York, NY Sanjiv Kumar Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:24 Multivariate statistics Matrix theory Singular value decomposition Dimension reduction Nonlinear dimensionality reduction Isomap Semidefinite embedding Eigenvalues and eigenvectors Principal component analysis Algebra Mathematics Linear algebra
289	LETTER Communicated by Joshua B. Tenenbaum Laplacian Eigenmaps for Dimensionality Reduction and Data Representation Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-08-14 05:08:50 Multivariate statistics Multivariable calculus Differential operators Singular value decomposition Dimension reduction Laplace operator Nonlinear dimensionality reduction Laplacian matrix Spectral clustering Mathematical analysis Mathematics Calculus
290	REPORTS 23; right 36, 13, and 27); superior frontal gyrus (left ⫺9, 31, and 45; right 17, 35, andAlthough the improvement in WM performance with cholinergic enhancement was a nonsignificant trend in the curre Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-08-14 05:08:08 Computational statistics Isomap Nonlinear dimensionality reduction Machine learning Multidimensional scaling Principal component analysis Manifold Geodesic Differentiable manifold Statistics Multivariate statistics Dimension reduction

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