Support Vector Machine with feature selection: A multiobjective approach-Reference-Cited by-同舟云学术

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Support Vector Machine with feature selection: A multiobjective approach

Published:2022-10 Issue: Volume:204 Page:117485
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Alcaraz Javier^ORCID,Labbé Martine^ORCID,Landete Mercedes^ORCID

Funder

España Ministerio de Ciencia e Innovación

Ministerio de Ciencia e Innovación

Agencia Estatal de Investigación

Generalitat Valenciana Conselleria d' Educacio Investigacio Cultura i Esport

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference46 articles.

1. Evolutionary competitive swarm exploring optimal support vector machines and feature weighting;Al-Zoubi;Soft Computing,2021

2. A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence;Aladeemy;Expert Systems with Applications,2017

3. Multi-objective evolutionary algorithms for a reliability location problem;Alcaraz;European Journal of Operational Research,2020

4. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligo-nucleotide arrays;Alon;Proceedings of the National Academy of Sciences,1999

5. UCI machine learning repository;Asuncion,2007

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