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Feature selection
Results: 571

#	Item
401	USE INTERMEDIATE RESULTS OF WRAPPER BAND SELECTION METHODS: A FIRST STEP TOWARD THE OPTIMIZATION OF SPECTRAL CONFIGURATION FOR LAND COVER CLASSIFICATIONS Arnaud Le Bris (a), Nesrine Chehata (b,c), Xavier Briottet (d), Ni Add to Reading List Source URL: recherche.ign.fr Language: English - Date: 2014-08-08 05:12:33 Statistical classification Infrared imaging Imaging Support vector machine Hyperspectral imaging Feature selection Random forest Dimension reduction Statistics Machine learning Spectroscopy
402	CoCo Selection 2010 Special Pitch THE WORKER’S SEA (Serbia) Vladimir Perisic, producer: Trilema film Vladimir Perisic’s first feature film ORDINARY PEOPLE has been widely acclaimed at international festivals and has Add to Reading List Source URL: www.connecting-cottbus.de Language: English - Date: 2014-01-24 09:56:56 Year of birth missing American film directors
403	Microsoft Word - matematica1_SAS Add to Reading List Source URL: www.unicam.it Language: English - Date: 2014-08-01 03:19:43 Support vector machine Operations research Multi-objective optimization Feature selection Statistics Mathematical optimization Statistical classification
404	CONTRIBUTION OF BAND SELECTION AND FUSION FOR HYPERSPECTRAL CLASSIFICATION Nesrine Chehata (a,b), Arnaud Le Bris (c) and Safa Najjar (d) (a) IRD/UMR LISAH El Menzah 4, Tunis, Tunisia (b) EA 4592 G&E, ENSEGID-IPB, Univers Add to Reading List Source URL: recherche.ign.fr Language: English - Date: 2014-08-08 05:12:32 Optics Dimension reduction Cartography Spectroscopy Infrared imaging Hyperspectral imaging Feature selection Random forest Remote sensing Statistics Machine learning Imaging
405	ARTICLE Communicated by Kechen Zhang Efficient Learning and Feature Selection in High-Dimensional Regression Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-02-06 00:59:42 Linear regression Partial least squares regression Backfitting algorithm Principal component analysis Supervised learning Least squares Nonlinear regression Ordinary least squares Outline of regression analysis Statistics Regression analysis Additive model
406	Comparing Feature Selection Criteria For Term Clustering Applications Miles Efron, Junliang Zhang, and Gary Marchionini {efrom, march}@ils.unc.edu, [removed] School of Information and Library Science Univers Add to Reading List Source URL: ils.unc.edu Language: English - Date: 2003-05-06 15:12:11 Software engineering Dinka alphabet Classical cipher Latin alphabets Computer programming Computing
407	Microsoft Word[removed]doc Add to Reading List Source URL: www.dynamics.unam.edu Language: English - Date: 2007-02-02 17:30:00 Naive Bayes classifier Statistical classification Bayesian inference Graphical model Feature selection Random naive Bayes Supervised learning Statistics Bayesian statistics Bayesian network
408	Package ‘penalizedSVM’ July 2, 2014 Type Package Title Feature Selection SVM using penalty functions Version 1.1 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:00:19 Support vector machine Model selection Stability Regression analysis Training set Feature selection Statistics Statistical classification Machine learning
409	Fast Pixel/Part Selection with Sparse Eigenvectors Baback Moghaddam Jet Propulsion Laboratory California Institute of Technology Yair Weiss Add to Reading List Source URL: ml.jpl.nasa.gov Language: English - Date: 2007-11-02 17:25:11 Image processing Singular value decomposition Linear algebra Sparse PCA Thresholding Linear discriminant analysis Segmentation Eigenvalues and eigenvectors Feature selection Statistics Algebra Multivariate statistics
410	Comparing Feature Selection Criteria For Term Clustering Applications Miles Efron, Junliang Zhang, and Gary Marchionini Working Paper This paper compares the quality of term clustering results obtained by using two fea Add to Reading List Source URL: ils.unc.edu - Date: 2003-05-06 18:41:13

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