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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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一种面向不平衡数据的结构化svm集成算法
, PP. 123-127
Keywords: 不平衡数据,结构化,支持向量机,集成学习
Abstract:
不平衡数据在实际应用中广泛存在,如何处理不平衡数据成为目前一个新的研究热点.鉴于最大间隔思想在很多分类问题中的优越性,将最大间隔思想引入到非平衡分类问题中,使用svm的方法取得了很好的分类性能.本文在利用类间分布信息的同时,加上类内结构信息,使用结构化的svm作为基分类器,进行分类集成.实验表明该方法可对不平衡数据进行有效的分类.
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