Use of support vector machines with a parallel local search algorithm for data classification and feature selection

作者：

Highlights：

• Proposed method jointly optimizes both feature selection and classification.

• Proposed method can reduce extremely high numbers of features.

• This study uses multiple LS algorithms, running in parallel and sharing information.

摘要

•Proposed method jointly optimizes both feature selection and classification.•Proposed method can reduce extremely high numbers of features.•This study uses multiple LS algorithms, running in parallel and sharing information.

论文关键词：Support vector machines,Feature selection,Classification,Heuristic,Machine learning

论文评审过程：Received 10 May 2019, Revised 12 December 2019, Accepted 12 December 2019, Available online 13 December 2019, Version of Record 26 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113133