| 一种加权支持向量机分类算法 |
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| 引用本文： | 贾银山,贾传荧. 一种加权支持向量机分类算法[J]. 计算机工程, 2005, 31(12): 23-25 |
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| 作者姓名： | 贾银山 贾传荧 |
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| 作者单位： | 辽宁石油化工大学计算机系,抚顺,113001;大连海事大学仿真与控制实验室,大连,116026 |
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| 摘 要： | 提出了一种加权C—SVM分类算法，并从理论上分析了算法的性能。该算法通过引入类权重因子和样本权重因子实现了类加权和样本加权两种功能。实验结果表明，该算法可以有效地解决由类大小不均衡引发的分类错误问题以及重要样本的错分问题。
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| 关 键 词： | 支持向量机 加权支持向量机 分类算法 机器学习 |
| 文章编号： | 1000-3428(2005)12-0023-03 |
A Weighted Support Vector Classification Algorithm |
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| JIA Yinshan,JIA Chuanying. A Weighted Support Vector Classification Algorithm[J]. Computer Engineering, 2005, 31(12): 23-25 |
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| Authors: | JIA Yinshan JIA Chuanying |
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| Affiliation: | JIA Yinshan1,JIA Chuanying2 |
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| Abstract: | This paper proposes a weighted C-SVM algorithm and analyzes its classification performance theoretically. This weighted C-SVMintroduces weight factors for classes and samples. Experiments show that C-SVM can effectively solve the misclassification problem resulted fromthe imbalance in the number of training samples of different classes and the problem that important samples are misclassified. |
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| Keywords: | Support vector machines Weighted support vector machines Classification algorithm Machine learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
