Generating improved belief networks

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395 50, 395 77, G06K 1518

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058022562

ABSTRACT:
An improved belief network generator is provided. A belief network is generated utilizing expert knowledge retrieved from an expert in a given field of expertise and empirical data reflecting observations made in the given field of the expert. In addition to utilizing expert knowledge and empirical data, the belief network generator provides for the use of continuous variables in the generated belief network and missing data in the empirical data.

REFERENCES:
patent: 5488725 (1996-01-01), Turtle et al.
patent: 5546502 (1996-08-01), Hart et al.
patent: 5640468 (1997-06-01), Hsu
Kumar et al., "Image Interpretation Using Bayesian Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence 18(1):74-77, Jan. 1996.
Gu et al., "An Application of Belief Networks to Future Crop Production" IEEE Conference on Artificial Intelligence Apllications, Mar. 1994, pp. 305-309.
Burnell et al., "Incorporating Probabilistic Reasoning in a Reactive Program Debugging System," IEEE Expert Magazine9(1):15-20, Feb. 1994.
Kozlov et al., "A Parallel Lauritzen-Spiegelhalter Algorithm for Probabilistic Inference," Supercomputing '94, Jan. 1994, pp. 320-329.
Scheerer et al., "Expert System Tools for Describing and Predicting the Coastal Ocean Environment," Oceans '94, vol. II, Jan. 1994, pp. 11-16.
Deng et al., "A Probabilistic Approach to Fault Diagnosis in Linear Lightwave Networks," IEEE Journal on Selected Areas in Communications 11(9):1438-1448, Dec. 1993.
Cowell et al., "Sequential Model Criticism in Probabilistic Expert Systems," IEEE Transactions on Pattern Analysis and Machine Intelligence 15(3):209-219, Mar. 1993.
Regazzoni et al., "Distributed Propagation of A-Priori Constraints in a Bayesian Network of Markov Random Fields," IEEE Proceedings. Part I: Communications, Speech & Vision, Feb. 1993, pp. 46-55.
Bellazzi et al., "Games II: An Environment for Building Probabilistic Expert Systems Based on Arrays of Bayesian Belief Networks," IEEE Conference on Computer-Based Medical Systems, May 1992, pp. 546-553.
Musman et al., "A Real Time Control Strategy for Bayesian Belief Networks with Applications to Ship Classification Problem Solving," IEEE Conference on Tools for Artificial Intelligence, Jul. 1990, pp. 738-744.
Lin et al., "A Minimal Connection Model of Abductive Diagnosis," IEEE Conference on Intelligence Applications, Mar. 1990, pp. 16-22.
Cowell, Roger G., "BAIES--A Probabilistic Expert System Shell with Qualitative and Quantitative Learning," Bayesian Statistics 4:595-600, 1992.
Cooper, Gregory F. and Edward Herskovits, "A Bayesian Method for the Induction of Probabilistic Networks from Data," Machine Learning 9: 309-347, 1992.
Spiegelhalter, David J., et al., "Bayesian Analysis in Expert Systems," Statistical Science 8(3): 219-283, Aug. 1993.
Goldman, Robert P., and Eugene Charniak, "A Language for Construction of Belief Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, No. 3, Mar. 1993.
Pearl, Judea "Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference," 1988, pp. 387-396.
Aliferis et al, "An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets," Uncertainty in Artificial Intelligence. Proceedings of the Tenth Conference, pp. 8-14, Jul. 1994.

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