Temporal Bayesian Network of Events for Diagnosis and Prediction in Dynamic Domains

Author:

Arroyo-Figueroa Gustavo,Sucar Luis Enrique

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference16 articles.

1. C.F. Aliferis and G.F. Cooper, “A structurally and temporally extended bayesian belief network model: Definitions, properties, and modeling techniques,” in Uncertainty in Artificial Intelligence, edited by E. Horvitz and F. Jensen, Morgan Kaufmann: San Francisco, 1996, pp. 28–39.

2. E. Santos Jr., “Unifying time and uncertainty for diagnosis,” J. Expt. Theor. Artif. Intell., vol. 8, pp. 75–94, 1996.

3. G. Arroyo-Figueroa and L.E. Sucar, “Medical diagnosis using temporal probabilistic networks,” Computación y Siśtemas, vol. 5, no. 2, pp. 109–119, 2001.

4. S.F. Galan and F.J. Diez, “Networks of probabilistic events in discrete time,” Int. J. of Approximate Reasoning, vol. 30, pp. 181–202, 2002.

5. G. Arroyo-Figueroa, Y. Alvarez, and L.E. Sucar, “SEDRET-an intelligent system for the diagnosis and prediction of events in power plants,” Expert Systems with Applications, vol. 18, pp. 75–86, 2000.

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