针对此问题,本研究对结合支持向量机(SVM)算法的几种常用非平衡数据分类方法进行实验比较,包括投票整合分类器和移动分类面等。
Combined with support vector machine (SVM) algorithm, several common approaches to deal with the unbalanced problem were compared, including majority voting, the moving boundary surface, etc.
针对此问题,本研究对结合支持向量机(SVM)算法的几种常用非平衡数据分类方法进行实验比较,包括投票整合分类器和移动分类面等。
Combined with support vector machine (SVM) algorithm, several common approaches to deal with the unbalanced problem were compared, including majority voting, the moving boundary surface, etc.
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