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Feature Selection For High Dimensional Data

Feature Selection for High-Dimensional Data  eBooks & eLearning

Posted by Underaglassmoon at Oct. 10, 2015
Feature Selection for High-Dimensional Data

Feature Selection for High-Dimensional Data
Springer | Computer Science | November 6, 2015 | ISBN-10: 3319218573 | 167 pages | pdf | 1.2 mb

by Verónica Bolón-Canedo (Author), Noelia Sánchez-Maroño (Author), Amparo Alonso-Betanzos (Author)
Explains how to choose an optimal subset of features according to a certain criterion
Coherent, comprehensive approach to feature subset selection in the scope of classification problems
Authors explain the "Big Dimensionality" problem

Statistical Analysis for High Dimensional Data: The Abel Symposium 2014  eBooks & eLearning

Posted by roxul at Sept. 25, 2018
Statistical Analysis for High Dimensional Data: The Abel Symposium 2014

Arnoldo Frigessi, Peter Bühlmann, "Statistical Analysis for High Dimensional Data: The Abel Symposium 2014"
English | 2016 | ISBN-10: 3319270974 | 320 pages | EPUB | 6 MB

Statistical Analysis for High Dimensional Data: The Abel Symposium 2014  eBooks & eLearning

Posted by naag at April 7, 2017
Statistical Analysis for High Dimensional Data: The Abel Symposium 2014

Arnoldo Frigessi, Peter Bühlmann, "Statistical Analysis for High Dimensional Data: The Abel Symposium 2014"
2016 | ISBN-10: 3319270974 | 320 pages | EPUB | 1 MB

Statistical Analysis for High Dimensional Data: The Abel Symposium 2014  eBooks & eLearning

Posted by arundhati at March 21, 2016
Statistical Analysis for High Dimensional Data: The Abel Symposium 2014

Arnoldo Frigessi, Peter Bühlmann, "Statistical Analysis for High Dimensional Data: The Abel Symposium 2014"
2016 | ISBN-10: 3319270974 | 320 pages | PDF | 17 MB
Statistics for High-Dimensional Data: Methods, Theory and Applications by Peter Bühlmann and Sara van de Geer [Repost]

Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics) by Peter Bühlmann and Sara van de Geer
English | June 14, 2011 | ISBN: 3642201911 | 575 Pages | PDF | 5 MB

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods…

Statistics for High-Dimensional Data: Methods, Theory and Applications (repost)  eBooks & eLearning

Posted by fdts at Sept. 17, 2014
Statistics for High-Dimensional Data: Methods, Theory and Applications (repost)

Statistics for High-Dimensional Data: Methods, Theory and Applications
by Peter Buhlmann and Sara van de Geer
English | 2011 | ISBN: 3642201911 | 573 pages | PDF | 5.29 MB

Statistics for High-Dimensional Data: Methods, Theory and Applications (repost)  eBooks & eLearning

Posted by Veslefrikk at June 11, 2013
Statistics for High-Dimensional Data: Methods, Theory and Applications (repost)

Statistics for High-Dimensional Data: Methods, Theory and Applications
Spr,..r | 2011 | ISBN: 3642201911 | 573 pages | PDF | 5,5 MB

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.

Feature Selection for Data and Pattern Recognition (Repost)  eBooks & eLearning

Posted by insetes at July 29, 2018
Feature Selection for Data and Pattern Recognition (Repost)

Feature Selection for Data and Pattern Recognition By Urszula Stanczyk, Lakhmi C. Jain
2015 | 376 Pages | ISBN: 3662456192 | PDF | 9 MB

Advances in Feature Selection for Data and Pattern Recognition  eBooks & eLearning

Posted by roxul at Feb. 6, 2018
Advances in Feature Selection for Data and Pattern Recognition

Urszula Stańczyk,‎ Beata Zielosko,‎ Lakhmi C. Jain, "Advances in Feature Selection for Data and Pattern Recognition"
2017 | ISBN: 3319675877 | English | 328 pages | EPUB | 6 MB

Advances in Feature Selection for Data and Pattern Recognition  eBooks & eLearning

Posted by ksveta6 at Nov. 21, 2017
Advances in Feature Selection for Data and Pattern Recognition

Advances in Feature Selection for Data and Pattern Recognition (Intelligent Systems Reference Library) by Urszula Stańczyk,‎ Beata Zielosko,‎ Lakhmi C. Jain
2017 | ISBN: 3319675877 | English | 328 pages | PDF | 10 MB