Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithm-Reference-Cited by-同舟云学术

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Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithm

Published:2023-05 Issue: Volume:267 Page:110421
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Aram Khalid Y.^ORCID,Lam Sarah S.^ORCID,Khasawneh Mohammad T.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference62 articles.

1. Machine learning with big data: Challenges and approaches;L’Heureux;IEEE Access,2017

2. Efficient feature selection via analysis of relevance and redundancy;Yu;J. Mach. Learn. Res.,2004

3. A survey on feature selection methods;Chandrashekar;Comput. Electr. Eng.,2014

4. An introduction to variable and feature selection;Guyon;J. Mach. Learn. Res.,2003

5. Optimal feature selection for support vector machines;Nguyen;Pattern Recognit.,2010

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