LS-SVM在垃圾邮件过滤中的应用

Application of LS-SVM in Spam-filtering

基于统计学习理论的支持向量机(SVM)方法是现代智能技术的一个重要分支。SVM在保证分类精度的前提下,提高了分类器的泛化能力。着重讨论了最小二乘支持向量机(LS-SVM)算法原理,并在此基础之上,对算法在垃圾邮件过滤中的应用进行了探讨。

Support Vector Machine（SVM）,which based on the statistic learning theory is an important branch of modern intelligence technical. To ensure accuracy in the classification under precise of SVM,the classification of generalization is improved. This paper mainly discusses the LS - SVM algorithm. Based on this, the result of the discussion is applied to the spam - filtering.