Feature Selection
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 (Intelligent Systems Reference Library) by Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain
2017 | ISBN: 3319675877 | English | 328 pages | PDF | 10 MB
2017 | ISBN: 3319675877 | English | 328 pages | PDF | 10 MB
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches (repost) eBooks & eLearning
Posted by rolexmaya at May 31, 2011
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Wiley-IEEE Press; 1 edition | September 29, 2008 | ISBN-10: 0470229756 | 340 pages | PDF | 3.6 Mb
Wiley-IEEE Press; 1 edition | September 29, 2008 | ISBN-10: 0470229756 | 340 pages | PDF | 3.6 Mb
Advances in Feature Selection for Data and Pattern Recognition eBooks & eLearning
Posted by roxul at Feb. 6, 2018
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
2017 | ISBN: 3319675877 | English | 328 pages | EPUB | 6 MB
Feature Selection in Machine Learning with Python eBooks & eLearning
Posted by hill0 at Oct. 30, 2022
Feature Selection in Machine Learning with Python
English | 2022 | ASIN: B0BFJDTJKD | 237 Pages | True PDF EPUB | 14 MB
English | 2022 | ASIN: B0BFJDTJKD | 237 Pages | True PDF EPUB | 14 MB
Fuzzy-Rough Approaches for Pattern Classification: Hybrid measures, Mathematical analysis, Feature selection algorithms eBooks & eLearning
Posted by naag at Aug. 23, 2017
Fuzzy-Rough Approaches for Pattern Classification: Hybrid measures, Mathematical analysis, Feature selection algorithms, Decision tree algorithms, Neural learning, and Applications
English | 2017 | ASIN: B074XF5L47 | 265 pages | AZW3 | 3.39 Mb
English | 2017 | ASIN: B074XF5L47 | 265 pages | AZW3 | 3.39 Mb
Recent Advances in Ensembles for Feature Selection (Repost) eBooks & eLearning
Posted by AvaxGenius at Oct. 11, 2018
Recent Advances in Ensembles for Feature Selection By Verónica Bolón-Canedo
English | PDF,EPUB | 2018 | 212 Pages | ISBN : 331990079X | 8.56 MB
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance.
Recent Advances in Ensembles for Feature Selection (Repost) eBooks & eLearning
Posted by AvaxGenius at Oct. 19, 2018
Recent Advances in Ensembles for Feature Selection By Verónica Bolón-Canedo
English | PDF,EPUB | 2018 | 212 Pages | ISBN : 331990079X | 8.56 MB
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance.
Recent Advances in Ensembles for Feature Selection (Repost) eBooks & eLearning
Posted by AvaxGenius at Nov. 18, 2018
Recent Advances in Ensembles for Feature Selection By Verónica Bolón-Canedo
English | PDF,EPUB | 2018 | 212 Pages | ISBN : 331990079X | 8.56 MB
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance.
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches (Repost) eBooks & eLearning
Posted by step778 at Aug. 28, 2018
Richard Jensen, Qiang Shen, "Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches"
2008 | pages: 345 | ISBN: 0470229756 | PDF | 3,3 mb
2008 | pages: 345 | ISBN: 0470229756 | PDF | 3,3 mb
Recent Advances in Ensembles for Feature Selection eBooks & eLearning
Posted by AvaxGenius at May 2, 2018
Recent Advances in Ensembles for Feature Selection By Verónica Bolón-Canedo
English | PDF,EPUB | 2018 | 212 Pages | ISBN : 331990079X | 8.56 MB
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance.