| 广义朴素贝叶斯分类器 |
| |
| 引用本文： | 王双成,忻瑞婵.广义朴素贝叶斯分类器[J].计算机应用与软件,2007,24(11):12-13,20. |
| |
| 作者姓名： | 王双成 忻瑞婵 |
| |
| 作者单位： | [1]上海立信会计学院信息科学系,上海201620 [2]上海立信会计学院中国立信风险管理研究院,上海201620 |
| |
| 基金项目： | 国家自然科学基金
,
上海市重点学科建设项目
,
上海市教委资助项目 |
| |
| 摘 要： | 朴素贝叶斯分类器具有很高的学习和分类效率,但不能充分利用属性变量之间的依赖信息.贝叶斯网络分类器具有很强的分类能力,但分类器学习比较复杂.本文建立广义朴素贝叶斯分类器,它具有灵活的分类能力选择方式、效率选择方式及学习方式,能够弥补朴素贝叶斯分类器和贝叶斯网络分类器的不足,并继承它们的优点.
|
| 关 键 词： | 广义朴素贝叶斯分类器 贪婪搜索 分类能力 朴素贝叶斯分类器 CLASSIFIER NAIVE BAYES 学习方式 选择方式 比较 分类能力 网络分类器 信息 属性变量 利用 效率 |
| 修稿时间： | 2005-11-10 |
GENERALIZED NAIVE BAYES CLASSIFIER |
| |
| Wang Shuangcheng,Xin Ruichan.GENERALIZED NAIVE BAYES CLASSIFIER[J].Computer Applications and Software,2007,24(11):12-13,20. |
| |
| Authors: | Wang Shuangcheng Xin Ruichan |
| |
| Affiliation: | 1. Department of Information Science, Shanghai Lixin University of Commerce, Shanghai 201620, China; 2. Risk Management Research Institute, Shanghai Lixin University of Commerce, Shanghai 201620, China |
| |
| Abstract: | Naive Bayes classifier has high learning and classing efficiency,but it can not make the best use of the dependent information between attribute variates(the dependent information is also important classing information).Bayesian network classifier has high classing ability,but it is very difficult to learn.The generalized naive Bayes classifier is presented,which has flexible manner of choosing classing ability,efficiency and learning classifier from data.It makes up the deficiency of Naive Bayes and Bayesian network classifiers and inherits their advantages. |
| |
| Keywords: | Generalized naive bayes classifiers Greedy search Classing ability |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
