Quantitative Bayesian inference by qualitative knowledge modeling

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 2563-2568

  Chang, Rui ^a,b   Stetter, Martin ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; NEURAL NETWORKS; RISK ANALYSIS; SPEECH ANALYSIS;

BAYESIAN INFERENCES; QUALITATIVE KNOWLEDGE;

BAYESIAN NETWORKS;

EID: 51749103096     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371362     Document Type: Conference Paper

References (15)

1. J. Fuernkranz, "The role of qualitative knowledge in machine learning," Austria Research Institute for Artificial Intelligence, Vienna, Austria, Tech. Rep., 1992.
2. K. D. Forbus and D. Gentner, "Causal reasoning about quantities," in Proceedings of the eighth the Cognitive Science Society. Amherst, MA: Morgan Kaufmann, 1986, pp. 666 - 677.
3. M. P. Wellman, "Fundamental concepts of qualitative probabilistic networks," Artificial Intelligence, vol. 44, pp. 257-303, 1990.
4. M. J. Druzdzel and M. Henrion, "Efficient reasoning in qualitative probabilistic networks," in Proceedings of the Eleventh National Conference on Artificial Intelligence. Washington DC: AAAI Press, 1993, pp. 548-553.
5. M. J. Druzdzel, "Probabilistic reasoning in decision support systems: From computation to common sense," Ph.D. dissertation, Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, 1993.
6. S. Renooij, L. C. van der Gaag, S. Parsons, and S. Green, "Pivotal pruning of trade-offs in qpns," in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence. San Francisco: Morgan Kaufmann, 2000, pp. 515-522.
7. S. Renooij, L. C. van der Gaag, and S. Parsons, "Context-specific sign-propagation in qualitative probabilistic networks," Artificial Intelligence, vol. 140, pp. 207-230, 2002.
8. S. Renooij, "Qualitative approaches to quantifying probabilistic networks," Ph.D. dissertation, Department of Information and Computing Sciences, Utrecht University, Holland, 2001.
9. D. Heckerman, "A tutorial on learning with bayesian networks," Microsoft Research, USA, Tech. Rep., 1996.
10. R. Chang and M. Stetter, "Hierarchical qualitative knowledge integration for quantitative bayesian inference," in Proceedings of the 18th European Conference on Machine Learning, 2007, (In Processing).
11. S. L. Lauritzen and D. J. Spiegelhalter, "Local computations with probabilities on graphical structures and their application to expert systems," J. Royal Statistics Society B, vol. 50(2), pp. 157-194, 1988.
12. H. L. Rieder, "Risk of travel-associated tuberculosis," Clinical Infectious Diseases, vol. 33, p. 13931396, 2001.
13. R. J. Troisi, F. E. Speizer, R. B, T. D, and W. WC, "Cigarette smoking and incidence of chronic bronchitis and asthma in women," Chest, vol. 108(6), pp. 1557-1561, 1995.
14. G. Gavelli and E. Giampalma, "Sensitivity and specificity of chest x-ray screening for lung cancer," Cancer, vol. 89,S11, pp. 2453-2456, 1998.
15. D. Piperno, F. Bart, P. Serrier, M. Zureik, and L. Finkielsztejn, "General practice patients at risk of chronic obstructive pulmonary disease: epidemiologic survey of 3 411 patients," La Press Medicale, vol. 34(21), pp. 1612-1614, 2005.