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GRAPHOIDS: Graph-Based Logic for Reasoning about Relevance Relations OrWhen Would x Tell You More about y If You Already Know z?

Published:04 March 2022Publication History
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References

  1. Cramér, H. (1946), Mathematical Methods of Statistics, Princeton University Press, Princeton, N.J.Google ScholarGoogle Scholar
  2. Duda, R. O., Hart, P. E., and Nilsson, N. J., (1976), Subjective Bayesian Methods for Rule-Based Inference Systems, Proceedings, 1976 NCC (AFIPS), 45, 1075-1082.Google ScholarGoogle Scholar
  3. Lauritzen, S.L. (1982), Lectures on Contingency Tables, 2nd Ed., U. of Aalborg Press, Aalborg, Denmark.Google ScholarGoogle Scholar
  4. Pearl, J. (1985), Fusion, Propagation and Structuring in Bayesian Networks, Technical Report CSD-850022, June 1985.Google ScholarGoogle Scholar
  5. Pearl, J. & Paz, A., (1985), GRAPHOIDS: a Graph-Based Logic for Reasoning about Relevance Relations, Technical Report CSD-850038, December 1985.Google ScholarGoogle Scholar

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            cover image ACM Books
            Probabilistic and Causal Inference: The Works of Judea Pearl
            February 2022
            946 pages
            ISBN:9781450395861
            DOI:10.1145/3501714

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 4 March 2022

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