Survey of Applying Support Vector Machines to Handle Large-scale Problems
支持向量机处理大规模问题算法综述

Being applied to handling large-scale problems,support vector machines(SVMs) needs longer training time and larger memory.The paper analyzed the limitation of SVMs,classified the algorithms of applying SVMs to handle large-scale problems into seven types,and made profound and comprehensive analysis of each kind of algorithm.Moreover,some issues valuable for future exploration in this area were indicated and discussed.