【摘要】 分析了支持向量的性质和增量学习过程,提出了一种新的增量学习算法,舍弃了对最终分类无用的样本,在保证测试精度的同时减少了训练时间。最后的数值实验和应用实例说明该算法是可行、有效的。更多还原

【Abstract】 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.更多还原