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Multivariate statistics
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#	Item
301	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
302	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
303	AntiConcentrationVectors-v7.dvi Add to Reading List Source URL: www.econ.ucla.edu Language: English - Date: 2013-12-20 14:06:24 Central limit theorem Normal distribution Concentration inequality Covariance matrix Random matrix Multivariate random variable Statistics Probability theory Multivariate statistics
304	- 31 - That norm has not been discovered in a laboratory and even less can it be established there or ••••• invented. W.Gs. Hellinga Add to Reading List Source URL: www.fon.hum.uva.nl Language: English - Date: 2010-04-04 08:37:16 Measurement Data analysis Multivariate statistics Factor analysis Level of measurement Intelligence quotient Musical scale Scale Standard deviation Statistics Psychometrics Market research
305	Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference David Mimno Dept. of Information Science Cornell University Ithaca, NY, 14853 Add to Reading List Source URL: mimno.infosci.cornell.edu Language: English - Date: 2014-10-16 01:54:56 Multivariate statistics Statistical natural language processing Natural language processing Computational linguistics Dimension reduction Principal component analysis Nonlinear dimensionality reduction Latent Dirichlet allocation Randomized algorithm Statistics Mathematics Probability and statistics
306	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.cixug.es Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
307	MainGorbanKeglWunschZin.dvi Add to Reading List Source URL: www.ihes.fr Language: English - Date: 2009-09-10 07:49:58 Multivariate statistics Dimension reduction Data analysis Principal component analysis Singular value decomposition Elastic energy Elastic map Derivative Vector space Algebra Mathematics Statistics
308	A Binary Factor Graph Model for Biclustering Matteo Denitto, Alessandro Farinelli, Giuditta Franco, and Manuele Bicego University of Verona, Department of Computer Science, Verona, Italy Abstract. Biclustering, which can Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2015-06-16 09:42:08 Multivariate statistics Biclustering Bioinformatics Data analysis Belief propagation Matrix Logical matrix Linear programming Graph partition Statistics Mathematics Cluster analysis
309	HOW TO USE THE BLACK BOX by Keith T. Poole Graduate School of Industrial Administration Add to Reading List Source URL: 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

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