Incremental learning algorithm based on SVM
基于支持向量机的增量学习算法*

By analyzing the characteristics of support vectors and the processing of incremental learning, this paper presented a new algorithm of incremental learning. It discarded useless samples and kept the testing accuracy, meanwhile reduced the training time. Numerical and applicable results illustrate that the technique is feasible and effective in the end.