id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ejpam-2688	Howe, J. Andrew; Bozdgoan, Hamparsum	Regularized SVM Classification with a new Complexity-Driven Stochastic Optimizer	2016	15	.pdf	application/pdf	5748	345	62	Assuming they meet Mercer’s conditions, kernel functions correspond to a nonlinear map into a higher dimensional feature space F and then taking the dot product in this space. While kernel functions execute a non-intuitive process of dimensional inflation, the fre- quent superior performance of analysis with kernels is well documented in a variety of meth- ods (KDA, KPCA, KLR, . . . ).	cache/ejpam-2688.pdf	txt/ejpam-2688.txt