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支持向量机训练及分类算法研究 被引量:3

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摘要 支持向量机(SVM)是在统计学习理论基础上发展起来的一种新的数据挖掘方法,已广泛应用于模式识别与回归分析等领域。针对一些主要的SVM训练算法,比较它们的特点,阐述其中最有代表性的序列最小优化(SMO)算法及其多种改进算法,还讨论一些典型的支持向量机多分类算法及支持向量机多标注算法。最后,指出亟待解决的一些问题。
作者 方辉 艾青
出处 《大庆师范学院学报》 2009年第3期85-88,共4页 Journal of Daqing Normal University
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参考文献20

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二级参考文献41

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