Abstract:
SVM在小训练样本,高维情况下,具有很好的泛化性能.但它不适用于多类分类.本文分析基本的SVM和多类SVM分类器,重点讨论了SVM决策树,提出了一种结点分类器类集合划分方案来构造SVM决策树.实验结果表明,这种方法构造的SVM决策树分类器分类性能较好.
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Year: 2006
Page: 366-369
Language: Chinese
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ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: -1
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30 Days PV: 1
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