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Multivariate statistics
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#	Item
291	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
292	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
293	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
294	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
295	Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:29 Machine learning Information theory Operator theory Kullback–Leibler divergence Thermodynamics Empirical risk minimization Entropy Hilbert space Multivariate normal distribution Statistics Statistical theory Probability and statistics
296	Scaling Roll Call Votes with wnominate in R Add to Reading List Source URL: voteview.com Language: English - Date: 2012-06-14 10:29:33 Psychometrics Melvin J. Hinich Dimension Matrix Science Knowledge Multivariate statistics NOMINATE Political science
297	LQfiltering_final_October_2008.dvi Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:55 Systems theory Cybernetics Linear-quadratic-Gaussian control Conditional expectation Independence Bellman equation Multivariate random variable Conditioning Probability theory Statistics Control theory
298	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
299	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
300	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

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