The key problem of the support vector machine (SVM) is how to obtain an optimal hyperplane that is the critical boundary for distinguishing the sample which belongs to one kind or another.
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释义
支持向量机(SVM)是解决小样本学习问题的有力工具,其关键是如何得到判别样本类别的最优超平面。
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