Improved decomposition method for support vector machines
Weida Zhou, Li Zhang, Licheng Jiao · 2004
An improved decomposition method for SVMs is presented. In our method, we propose a rule for selecting the working set to improve the training speed. The selection rule can be applied to any decomposition methods for SVMs. Simulation results show the feasibility and validity of our algorithm.