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

Pattern Recognition(2018)

引用 62|浏览52
暂无评分
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.
更多
查看译文
关键词
SVM classifier,Orthogonal polynomials,Gegenbauer kernel,Binary classification
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要