Feature Selection

Fuzzy-Rough Approaches for Pattern Classification: Hybrid measures, Mathematical analysis, Feature selection algorithms

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
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications By Muhammad Summair Raza Usman Qamar
English | PDF | 2017 | 200 Pages | ISBN : 9811049645 | 6.78 MB

The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers.
New Theory of Discriminant Analysis After R. Fisher: Advanced Research by the Feature Selection Method for Microarray Data

New Theory of Discriminant Analysis After R. Fisher: Advanced Research by the Feature Selection Method for Microarray Data by Shuichi Shinmura
English | 2016 | ISBN: 9811021635 | 208 Pages | PDF | 4.29 MB
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches (Repost)

Richard Jensen, Qiang Shen, "Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches"
2008 | pages: 357 | ISBN: 0470229756 | PDF | 3,6 mb
The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection

Florentina T. Hristea - The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection
Published: 2012-11-08 | ISBN: 3642336922 | PDF | 70 pages | 0.84 MB
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations (repost)

Oleg Okun, "Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations"
English | 2011 | ISBN: 1609605578 | 445 pages | PDF | 4,8 MB

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

Feature Selection for Data and Pattern Recognition  eBooks & eLearning

Posted by nebulae at Jan. 28, 2015
Feature Selection for Data and Pattern Recognition

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

Spectral Feature Selection for Data Mining (repost)  eBooks & eLearning

Posted by arundhati at Aug. 20, 2014
Spectral Feature Selection for Data Mining (repost)

Zheng Alan Zhao, "Spectral Feature Selection for Data Mining"
2012 | ISBN: 1439862095 | 219 pages | PDF | 11 MB
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations (repost)

Oleg Okun, "Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations"
English | 2011 | ISBN: 1609605578 | 445 pages | PDF | 4,8 MB

Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations offers a unique perspective on machine learning aspects of microarray gene expression based cancer classification.