A robust SVM-based approach with feature selection and outliers detection for classification problems-Reference-Cited by-同舟云学术

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A robust SVM-based approach with feature selection and outliers detection for classification problems

Published:2021-09 Issue: Volume:178 Page:115017
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Baldomero-Naranjo Marta,Martínez-Merino Luisa I.,Rodríguez-Chía Antonio M.

Funder

Government of Andalusia

Universidad de Sevilla

Fundación BBVA

Universidad de Cádiz

European Regional Development Fund

Gobierno de España Agencia Estatal de Investigación

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

1. A feature selection algorithm for intrusion detection system based on pigeon inspired optimizer;Alazzam;Expert Systems with Applications,2020

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

3. Kernel search: A general heuristic for the multi-dimensional knapsack problem;Angelelli;Computers & Operations Research,2010

4. Feature selection for support vector machines using Generalized Benders Decomposition;Aytug;European Journal of Operational Research,2015

5. Tightening big Ms in Integer Programming Formulations for Support Vector Machines with Ramp Loss;Baldomero-Naranjo;European Journal of Operational Research,2020

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