A novel robust support vector machine classifier with feature mapping

作者：

Highlights：

• A technique for pre-selecting training points is utilized.

• The feature mapping and kernel trick are combined for classification.

• Numerical tests on several datasets reveal the superior performance of the proposed method.

摘要

•A technique for pre-selecting training points is utilized.•The feature mapping and kernel trick are combined for classification.•Numerical tests on several datasets reveal the superior performance of the proposed method.

论文关键词：Support vector machine,Kernel function,Quadratic surface,Classification,Feature mapping

论文评审过程：Received 20 March 2022, Revised 18 September 2022, Accepted 18 September 2022, Available online 23 September 2022, Version of Record 17 October 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109928