A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family
Pattern Recognition, Volume 84, 2018, Pages 211-225.
Abstract Orthogonal polynomial kernels have been recently introduced to enhance support vector machine classifiers by reducing their number of support vectors. Previous works have studied these kernels as isolated cases and discussed only particular aspects. In this paper, a novel formulation of orthogonal polynomial kernels that includ...更多