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Probabilistic reasoning using graphs

  • Section II Approaches To Uncertainty C) Probability Theory
  • Conference paper
  • First Online:
Uncertainty in Knowledge-Based Systems (IPMU 1986)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 286))

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References

  1. Pearl, J., “Fusion, Propagation and Structuring in Belief Networks,” Artificial Intelligence, Vol. 29, No. 3, September 1986, pp. 241–288.

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  2. Pearl, J., “How to Do with Probabilities What People Say You Can't,” Proceedings, 2nd Conference on AI Applications, Miami, FL., December 1985, pp. 6–12.

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  3. Pearl, J. & Paz, A., “GRAPHOIDS: a Graph-Based Logic for Reasoning about Relevance Relations,” Proceedings, European Conference on Artificial Intelligence-86, Brighton, U.K., June 1986.

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  4. Pearl, J., “Distributed Revision of Composite Beliefs,” Proceedings, 2nd AAAI Workshop on Uncertainty in Artificial Intelligence, Philadelphia, PA., August 1986, pp. 201–209; also to appear in Artificial Intelligence, North-Holland, 1987.

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  5. Pearl, J., “Bayes and Markov Networks: a Comparison of Two Graphical Representations of Probabilistic Knowledge,” UCLA Computer Science Department Technical Report 860024 (R-46), October 1986.

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  6. Geffner, H. & Pearl, J., “A Distributed Diagnosis of Systems with Multiple Faults,” Proceedings, 3rd IEEE Conference on Artificial Intelligence Applications, Orlando, Florida, February 1987, pp. 156–162.

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  7. Pearl, J., & Verma, T., "The Logic of Representing Dependencies by Directed Graphs," UCLA Cognitive Systems Laboratory Technical Report 870004 (R-79), February 1987, Proceedings, AAAI Conference, Seattle, WA. July, 1987.

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B. Bouchon R. R. Yager

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© 1987 Springer-Verlag Berlin Heidelberg

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Pearl, J. (1987). Probabilistic reasoning using graphs. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_19

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  • DOI: https://doi.org/10.1007/3-540-18579-8_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18579-6

  • Online ISBN: 978-3-540-48020-4

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