Two ellipsoid Support Vector Machines

作者：

Highlights：

• Easy to implement.

• Works with any SVM library.

• Speeds up the SVM training process.

• Slightly increases classification results.

• Reduces number of support vectors.

摘要

•Easy to implement.•Works with any SVM library.•Speeds up the SVM training process.•Slightly increases classification results.•Reduces number of support vectors.

论文关键词：Support Vector Machines,Mahalanobis distance,Classification,Data preprocessing

论文评审过程：Available online 15 July 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.07.015