Aiming at the problem of trending to the low-frequency words existing in original mutual information method, we present an improved attribute-choosing algorithm of mi.
针对原有互信息属性选择存在的偏向于低频词的问题，提出了一种改进的基于互信息的军用信息属性选择算法。
So a new method based on improved mutual information (IMI) was presented, which strengthened the mutual information through reversing those features whose mutual information was negative.
在此基础上提出了一种基于互信息特征选取的改进算法，该算法加强了互信息为负值的特征在分类中的作用。
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