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Discriminant
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#	Item
201	Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering University of California, San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2012-12-11 16:44:36 Statistical classification Data analysis Principal component analysis Singular value decomposition Linear classifier K-nearest neighbor algorithm Dimension reduction Linear discriminant analysis Expectation–maximization algorithm Statistics Multivariate statistics Machine learning
202	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Tutorial 3: Correlated Component Regression for a Dichotomous Dependent Variable Overview In regression analyses involving a di Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-09-21 09:38:48 Cross-validation Linear discriminant analysis Logistic regression Degrees of freedom Standardized coefficient Regularization Nonparametric regression Unit-weighted regression Statistics Regression analysis Machine learning
203	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: cran.repo.bppt.go.id Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
204	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: cran.rstudio.com Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
205	➠ ➡ HIERARCHICAL CORRELATION COMPENSATION FOR HIDDEN MARKOV MODELS Hui Lin, Ye Tian, Jian-Lai Zhou, Hui Jiang** Dept. of Electronic Engineering, Tsinghua University, Beijing, China Add to Reading List Source URL: research.microsoft.com Language: English* - Date: 2009-08-10 10:41:28 Data analysis Algebra of random variables Summary statistics Covariance matrix Covariance Matrix Mixture model Linear discriminant analysis Hidden Markov model Statistics Covariance and correlation Multivariate statistics
206	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: mirror.mdx.ac.uk Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
207	Neural Process Lett DOIs11063x Supervised Distance Preserving Projections Zhanxing Zhu · Timo Similä · Francesco Corona Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-09-03 12:46:49 Multivariate statistics Linear algebra Dimension reduction Abstract algebra Operator theory Projection Principal component analysis Nonlinear dimensionality reduction Linear discriminant analysis Statistics Algebra Mathematics
208	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: cran.stat.upd.edu.ph Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
209	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: ftp.osuosl.org Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
210	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: cran.ms.unimelb.edu.au Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types

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