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Constructing belief networks from realistic data
Peng, Y; Zhou, ZL; Cho, SZ
1999-07-01
发表期刊INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
ISSN0884-8173
卷号14期号:7页码:671-695
摘要In this paper, we report our investigation on the behavior of some Bayesian belief network learning methods, when applied to realistic case data that do not accurately reflect the probability distribution of the underlying domain. The investigation focuses on two types of such data of practical interest, namely data excluding null or normal cases and data contaminated by noise, and their effects on the performance of two learning methods: the K2 algorithm, a representative method of Bayesian approach, and the extended Hebbian learning (EHL) method, representing those of neural network approach. Both analytical and experimental results show that when null cases are removed from the case database, the EHL method is able to accurately construct the underlying causal structure; whereas K2 algorithm may fail to properly handle root nodes. On the other hand, the EHL method is noise sensitive while K2 has certain inherent noise-resistance capability. Suggestions to extend both K2 and EHL to better cope with these problems are also made, and their effectiveness tested through a systematic computer simulation experiment. (C) 1999 John Wiley & Sons, Inc.
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000081165900003
出版者JOHN WILEY & SONS INC
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13304
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Peng, Y
作者单位1.Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Baltimore, MD 21250 USA
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
3.Pohan Univ Sci & Technol, Dept Comp Sci & Engn, Pohan 790784, South Korea
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Peng, Y,Zhou, ZL,Cho, SZ. Constructing belief networks from realistic data[J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,1999,14(7):671-695.
APA Peng, Y,Zhou, ZL,&Cho, SZ.(1999).Constructing belief networks from realistic data.INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,14(7),671-695.
MLA Peng, Y,et al."Constructing belief networks from realistic data".INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 14.7(1999):671-695.
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