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Linear discriminant analysis
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#	Item
421	Efficient Leave-One-Out Cross-Validation of Kernel Fisher Discriminant Classifiers Gavin C. Cawley a,∗ a School Add to Reading List Source URL: theoval.cmp.uea.ac.uk Language: English - Date: 2012-09-05 05:12:54 Statistical classification Algebraic number theory Linear discriminant analysis Cross-validation Kernel trick Kernel Fisher discriminant analysis Support vector machine Kernel Discriminant Statistics Machine learning Multivariate statistics
422	UNIVERSITAT DE GIRONA Girona, Spain 7-11 July 2014 Add to Reading List Source URL: www.compositionaldata.com Language: English - Date: 2014-06-06 13:41:52 Computational chemistry Chemometrics Biplot Multivariate analysis Compositional data International Association for Statistical Computing Plot Analysis Linear discriminant analysis Statistics Multivariate statistics Statistical methods
423	Trim Size: 7in x 10in Pomerantsev bindex.tex Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-04-21 16:22:38 Regression analysis Data analysis Singular value decomposition Econometrics Principal component analysis Factor analysis Chemometrics Non-linear iterative partial least squares Linear discriminant analysis Statistics Algebra Multivariate statistics
424	Trim Size: 7in x 10in Pomerantsev ftoc.tex V2[removed] Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-04-21 16:22:38 Multivariate statistics Linear algebra Matrix theory Singular value decomposition Functional analysis Principal component analysis Chemometrics Eigenvalues and eigenvectors Linear discriminant analysis Algebra Statistics Mathematics
425	Methods for statistical data analysis with decision trees Problems of the multivariate statistical analysis In realizing the statistical analysis, first of all it is necessary to define which objects and for what purpose Add to Reading List Source URL: www.math.nsc.ru Language: English - Date: 2004-10-12 13:38:54 Statistical inference Decision trees Data mining Decision tree learning Binary tree Statistical classification Regression analysis Supervised learning Linear discriminant analysis Statistics Machine learning Econometrics
426	i Olaf Behnke, Kevin Kröninger, Grégory Schott, and Thomas Schörner-Sadenius: Data Analysis in High Energy Physics — [removed] — page V — le-tex i Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2013-10-24 21:37:20 Regression analysis Statistical inference Bayesian statistics Maximum likelihood Least squares Principle of maximum entropy Confidence interval Linear discriminant analysis Nuisance parameter Statistics Statistical theory Estimation theory
427	CoCo Informal Seminar Series: Spring 2010 Add to Reading List Source URL: coco.binghamton.edu Language: English - Date: 2014-04-24 22:19:43 Linear discriminant analysis Statistics Data analysis Data mining
428	Classification Trees With Unbiased Multiway Splits Hyunjoong Kim and Wei-Yin Loh∗ (J. Amer. Statist. Assoc., 2001, 96, 598–604) Abstract Add to Reading List Source URL: www.stat.wisc.edu Language: English - Date: 2008-08-25 23:11:22 Regression analysis Data mining Decision tree learning Econometrics Feature selection CHAID Linear discriminant analysis B-tree Contingency table Statistics Decision trees Machine learning
429	Classification Trees with Bivariate Linear Discriminant Node Models Journal of Computational and Graphical Statistics, 2003, 12, 512–530 Wei-Yin Loh ∗ Department of Statistics University of Wisconsin Add to Reading List Source URL: www.stat.wisc.edu Language: English - Date: 2005-02-17 17:32:54 Binary trees Multivariate statistics Machine learning Linear discriminant analysis Decision tree learning T-tree Tree Pruning Logistic regression Statistics Decision trees Statistical classification
430	Department of Statistics University of Wisconsin, Madison Technical Report 989 March 3, 1998 (revised October 21, 2008) CRUISE User Manual Add to Reading List Source URL: www.stat.wisc.edu Language: English - Date: 2008-10-21 22:05:03 Model selection Data analysis Statistical inference Linear discriminant analysis Decision tree learning Feature selection Cross-validation Pruning Missing data Statistics Machine learning Decision trees

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