Abstract Support vector machine (SVM) is one of the most important class learning models and algorithms, has been successfully applied in various fields. Nonlinear optimization plays a crucial role SVM methodology, both defining designing convergent efficient algorithms for large-scale training problems. In this paper we present convex programming problems underlying focusing on supervised bina...

A support vector machine (SVM) is an algorithm that finds a hyperplane which optimally separates labeled data points in \begin{document}$ \mathbb{R}^n $\end{document} into positive and negative classes. The on the margin of this separating are called support vectors. We connect possible configurati...