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基于链图的Bayesian网结点聚集
引用本文:李维华,刘惟一,张忠玉.基于链图的Bayesian网结点聚集[J].计算机应用,2004,24(3):62-64.
作者姓名:李维华  刘惟一  张忠玉
作者单位:1. 云南大学,计算机科学系,云南,昆明,650091
2. 曲靖师范学院,物理系,云南,曲靖,655000
基金项目:国家自然基金项目(60263006),中国科学院计算机智能信息处理协会重点实验室项目(IIp2002 2),云南省自然科学基金项目(2002F0063M)
摘    要:提出了一个基于链图将Bayesiall网的结点聚集算法。将Bayesiall网转化为链图,将链图上等价的结点集当作一个领域并用一个新的结点来表示,修改整体结构和参数,从而完成对整个Bayesiall网的修正。聚集之后的Bayesiall网可以使领域之间的概率关系更清晰明显,优化Bayesiall网的结构表示。

关 键 词:Bayesian网  链图  聚集  Bayesian网等价类
文章编号:1001-9081(2004)03-0062-03

Node Aggregation of Bayesian Network Based on Chain Graph
LI Wei-hua,LIU Wei-yi,ZHANG Zhong-yu.Node Aggregation of Bayesian Network Based on Chain Graph[J].journal of Computer Applications,2004,24(3):62-64.
Authors:LI Wei-hua  LIU Wei-yi  ZHANG Zhong-yu
Affiliation:LI Wei-hua~1,LIU Wei-yi~1,ZHANG Zhong-yu~2
Abstract:Based on chain graph, we present an algorithm to aggregate the nodes in a Bayesian network. Firstly, Bayesian network was transformed into chain graph. The relation between nodes in chain graphs partitioned nodes into some subset of nodes viewed as domains. Then, each domain was aggregated into a new node in the new Bayesian network. Finally, By refining the parameters, we constructed the Bayesian network again. This procedure make the probabilistic relation between domains more clear, and at the same time, make the structure of the Bayesian network can be optimized.
Keywords:Bayesian network  chain graph  aggregation  equivalence class of Bayesian network structures
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