A novel feature selection method for twin support vector machine

作者：

Highlights：

• The references have been revised uniformly.

• Several references published on the KBS journal are replaced with other proper ones.

• Additional references suggested by the reviewer are added in the new version.

摘要

•The references have been revised uniformly.•Several references published on the KBS journal are replaced with other proper ones.•Additional references suggested by the reviewer are added in the new version.

论文关键词：Pattern recognition,Feature selection,Twin support vector machine,Feature ranking,L1 norm,Multi-objective mixed-integer programming

论文评审过程：Received 28 June 2013, Revised 25 January 2014, Accepted 31 January 2014, Available online 10 February 2014.

论文官网地址：https://doi.org/10.1016/j.knosys.2014.01.025