A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family

作者：

Highlights：

• A novel formulation of orthogonal kernels for SVM classifiers is presented.

• The harmful Annihilation and Explosion effects are identified and resolved.

• The Gegenbauer family of orthogonal kernels is introduced and evaluated.

• Gegenbauer achieves similar accuracy to the RBF kernel and better generalization.

摘要

•A novel formulation of orthogonal kernels for SVM classifiers is presented.•The harmful Annihilation and Explosion effects are identified and resolved.•The Gegenbauer family of orthogonal kernels is introduced and evaluated.•Gegenbauer achieves similar accuracy to the RBF kernel and better generalization.

论文关键词：SVM classifier,Orthogonal polynomials,Gegenbauer kernel,Binary classification

论文评审过程：Available online 12 July 2018, Version of Record 20 July 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.07.010