An Improved Bayesian Network Learning Algorithm Based on Dependency Analysis

2005 ◽  
pp. 33-40
Author(s):  
Fengzhan Tian ◽  
Shengfeng Tian ◽  
Jian Yu ◽  
Houkuan Huang
Keyword(s):  
Bayesian Network ◽  
Learning Algorithm ◽  
Dependency Analysis ◽  
Network Learning

Complex System Testability Analysis Based on Bayesian Networks under Small Sample

2014 ◽  
Vol 602-605 ◽  
pp. 1772-1777
Author(s):  
Xi Shan Zhang ◽  
Kao Li Huang ◽  
Peng Cheng Yan ◽  
Guang Yao Lian
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
Bayesian Networks ◽  
Bayesian Network ◽  
Prior Information ◽  
Learning Algorithm ◽  
Small Sample ◽  
Inference Algorithm ◽  
Network Learning ◽  
Testability Analysis

A lot of prior information in complex system test has been accumulated. To use the prior information for complex system testability quantitative analysis, a new complex system testability modeling and analyze method based on Bayesian network is presented. First, the complex system’s testability model is built using various kind of prior information by Bayesian network learning algorithm. Then, the way of assessing the testability of complex system is provided using the inference algorithm of Bayesian network. Finally, some proper examples are provided to prove the method’s validity.

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