This paper studied a method of extracting the text features based on the kernel and scatter difference.

研究了一种基于核的最大散度差准则的文本特征抽取方法。

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According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.

根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。

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The theory of SVM is studied at first, then an ameliorated RBF kernel function is presented, based on which an improved kernel function pattern classification method of SVM is put forward.

首先分析了支持向量机原理，随后引入一种改进的径向基核函数，在此基础上，提出了一种改进核函数的SVM模式分类方法。

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