Multi-task proximal support vector machine

作者：

Highlights：

• Propose highly efficient multi-task proximal support vector machine (MTPSVM).

• Develop a method to optimize the learning procedure of MTPSVM.

• Unbalanced MTPSVM is proposed to deal with the unbalanced sample problem.

• Propose proximal support vector regression (SVR) and multi-task proximal SVR.

• Extensive experiments demonstrate the effectiveness and efficiency of our MTPSVM.

摘要

Highlights•Propose highly efficient multi-task proximal support vector machine (MTPSVM).•Develop a method to optimize the learning procedure of MTPSVM.•Unbalanced MTPSVM is proposed to deal with the unbalanced sample problem.•Propose proximal support vector regression (SVR) and multi-task proximal SVR.•Extensive experiments demonstrate the effectiveness and efficiency of our MTPSVM.

论文关键词：Multi-task learning,Support vector machines,Proximal classifiers

论文评审过程：Received 17 October 2014, Revised 15 January 2015, Accepted 16 January 2015, Available online 3 February 2015, Version of Record 17 June 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.01.014