Verifying parameters of Bayesian belief networks by exploring the impact intensity

Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05

Volumn 2005, Issue , 2005, Pages 723-728

  Baofeng, Guo ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN BELIEF NETWORK (BBN); CONDITIONAL PROBABILITY; IMPACT INTENSITY COEFFICIENTS (IIC); PARAMETER VERIFICATION; STRUCTURE VERIFICATION;

HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; NUMERICAL METHODS; PROBABILITY DISTRIBUTIONS; TOPOLOGY;

GRAPH THEORY;

EID: 33847283964     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NLPKE.2005.1598831     Document Type: Conference Paper

References (15)

1. J. Pearl, Probabilistic Reasoning in Intelligent Systems. San Mateo, CA: Morgan Kaufmann, 1988.
2. J. Pearl, S. Russel, "Bayesian networks", in M. Arbib (Ed.), Handbook of Brain Theory and Neural Networks, MTT Press, 2001
3. R. Greiner, "Introduction to (Bayesian) Belief Nets", Lecture notes, University of Alberta, On-line resource.
4. B. A Gran, G. Dahll, S. Eisinger, et.al., "Estimating Dependability of Programmable Systems Using BBNs", SAFECOMP 2000, pp.309-320, 2000.
5. N. Fenton and M. Neil, "A Critique of Software Defect Prediction Models", IEEE Trans. Software Eng., vol. 25, no. 5, pp765-689, 1999.
6. Heckerman, "A tutorial on learning with Bayesian networks", Microsoft Research tech. report, MSR-TR-95-06, 1996.
7. Wai Lam, Segre, A.M., "A distributed learning algorithm for Bayesian inference networks" IEEE Transactions on Knowledge and Data Engineering, vol. 14, no. 1, pp 93 -105, Jan/Feb, 2002
8. De Campos, L.M.; Gamez, J.A.; Moral, S.; "Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators", IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, pp 105-131, Apr, 2002
9. Hugin Bayesian network Software, Aalborg, Denmark, On-line at http://www.hugin.dk, 1999.
10. MSBNx, Software for creating, assessing, and evaluating Bayesian Networks, Microsoft Research, http://research.microsoft.com/adapt/MSBNx/
11. Neil M, Fenton NE, Nielsen L, "Building large-scale Bayesian Networks", The Knowledge Engineering Review, 15(3), pp 257-284, 2000
12. M. Neil, N, Fenton, S. Forey and R. Harris, "Using Bayesian belief networks to predict the reliability of military vehicles", Computing & Control Engineering Journal, pp11-20, Feb. 2001
13. N.E. Fenton, B. Littlewood, M. Neil, L. Strigini, D.R. Wright P.J. Courtois, "Bayesian Belief Network Model for the Safety Assessment of Nuclear Computer-based Systems", DeVa ESPRIT Research Project, 2nd Year Report, Dec 1997.
14. B. Littlewood, L. Strigini, D. Wright P.J. Courtois, "Examination of Bayesian Belief Network for Safety Assessment of Nuclear Computer-based Systems", DeVa ESPRIT Research Project 3rd Year Report, Dec 1998.
15. Marek J. Druzdzel and Linda C. van der Gaag, "Building probabilistic networks: 'Where do the numbers come from?' Guest Editor's Introduction", IEEE Transactions on Knowledge and Data Engineering, vol. 12, pp. 481-486, July-Aug. 2000.