Lam W, Nacchus F. Using New Data to Refine a Bayesian Network // Proc of the 10th Conference on Uncertainty in Artificial Intelligence. Seattle, USA, 1994: 383-390
[2]
Buntine W. Theory Refinement on Bayesian Networks // Proc of the 7th Conference on Uncertainty in Artificial Intelligence. Los Angeles, USA, 1991: 52-60
[3]
Lam W, Bacchus F. Using Causal Information and Local Measures to Learn Bayesian Networks // Proc of the 9th Conference on Uncertainty in Artificial Intelligence. Washington, USA, 1993: 243-250
[4]
Pappas A. The Accuracy of a Bayesian Network. Ph.D Dissertation. London, UK: Imperial College. Department of Computing, 2003
[5]
Li Gang. Graphical Model for Knowledge Discovery. Ph.D Dissertation. Beijing, China: Chinese Academy of Sciences. Institute of Software, 2001(in Chinese) (李 刚.知识发现的图模型方法.博士学位论文.北京:中国科学院软件研究所, 2001)
[6]
Friedman N, Goldszmidt M. Sequential Update of Bayesian Network Structure // Proc of the 13th Conference on Uncertainty in Artificial Intelligence. Providence, USA, 1997: 165-174
[7]
Bouckaert R R. Properties of Measures for Bayesian Belief Network Learning // Proc of the 10th Conference on Uncertainty in Artificial Intelligence. Seattle, USA, 1994: 102-109
[8]
Cheng J, Bell D A, Liu W R. An Algorithm for Bayesian Belief Network Construction from Data // Proc of the Conference on Artificial Intelligence and Statistics. Ft Lauderdale, USA, 1997: 83-90
[9]
Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, USA: Morgan Kaufmann, 1988
[10]
Beinlich I A, Suermondt H J, Chavez R M, et al. The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks // Proc of the 2nd European Conference on Artificial Intelligence in Medicine. Berlin, Germany: Springer-Verlag, 1989: 247-256
[11]
Cooper G F. NESTOR: A Computer-Based Medical Diagnostic Aid That Integrates Causal and Probabilistic Knowledge. Ph.D Dissertation. Stanford, USA: Stanford University. Department of Medical Information Sciences, 1984
[12]
Pappas A, Gillies D F. A New Measure for the Accuracy of a Bayesian Network // Proc of the 2nd Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence. London, UK: Springer-Verlag, 2002: 411-419
[13]
Cheng J, Bell D A, Liu W R. Learning Belief Networks from Data: An Information Theory Based Approach // Proc of the 6th International Conference on Information and Knowledge Management. Las Vegas, USA, 1997: 325-331