计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (10): 111-112.DOI: 10.3778/j.issn.1002-8331.2010.10.036
• 数据库、信号与信息处理 • 上一篇 下一篇
杜会锋，刘琼荪
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通讯作者:
DU Hui-feng，LIU Qiong-sun
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摘要： 利用Copula的理论提出了基于Copula贝叶斯分类算法，克服了一般的朴素贝叶斯分类器要求属性独立性假设的不足，进一步扩展了朴素贝叶斯分类器，实验结果表明，基于Copula贝叶斯算法取得了较好的分类效果。
关键词: 朴素贝叶斯分类器, 独立性假设, Copula函数
Abstract: In this paper，a Bayesian classification algorithm based on the theory of Copula is presented，it overcomes the lack of attribute independence assumption which the general Naive Bayesian classifiers request，and further expands the Naive Bayesian classifiers.The results show that classification results have been markedly improved by using the Bayesian classification algorithm based on Copula.
Key words: Naive Bayesian classifier, independence assumption, Copula function
中图分类号:
TP301.6
杜会锋，刘琼荪. 基于Copula的贝叶斯分类器[J]. 计算机工程与应用, 2010, 46(10): 111-112.
DU Hui-feng，LIU Qiong-sun. Bayesian classifier using Copula.Computer Engineering and Applications[J]. Computer Engineering and Applications, 2010, 46(10): 111-112.
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http://cea.ceaj.org/CN/Y2010/V46/I10/111
