通过利用基于词频的权值计算，同时改进传统文本相似度计算概率模型，改进SVM算法实现邮件过滤系统。
We can use term frequency to have a weighted calculation and improve traditional text similarity calculation probability model in SVM algorithm.
赋值密度函数概率真度推理规则相似度伪距离。
Valuation density probability truth degree inference rule similarity degree pseudo-distance.
赋值密度函数概率真度推理规则相似度伪距离。
Valuation density probability truth degree inference rule similarity degree pseudo-distance.
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