在线性规划支撑矢量机中，对其VC维数界作了适当的放宽。

In linear programming linear SVMs, the bound of the VC dimension is loosened properly.

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在基于支撑矢量机的分类器学习算法中，预先选择支撑矢量是非常重要的。

For the support vector machine based learning algorithm of classifier, it is very importance for the support vector to be pre-selected.

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研究了支撑矢量机的分类机理，并利用支撑矢量机对雷达目标一维像进行了识别。

The classification mechanism of support vector machine (SVM) was analyzed in detail. The one dimensional image of radar target was recognized by SVM.

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