Abstract
A new polynomial smooth method for solving the support vector machine (SVM) is presented in this paper. It is called the polynomial smooth support vector machine (PSSVM). BFGS method and Newton-Armijo method are applied to solve the PSSVM. Numerical experiments confirm that PSSVM is more effective than SVM. © Springer-Verlag Berlin Heidelberg 2005.
Author supplied keywords
Cite
CITATION STYLE
APA
Yuan, Y. B., & Huang, T. Z. (2005). A polynomial smooth support vector machine for classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3584 LNAI, pp. 157–164). Springer Verlag. https://doi.org/10.1007/11527503_19
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free