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    Some Improvements to the Shenoy-Shafer and Hugin Architectures for Computing Marginals

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    AI98.pdf (129.8Kb)
    Issue Date
    1998
    Author
    Schmidt, Tuija
    Shenoy, Prakash P.
    Publisher
    Elsevier Science Publishers B. V.
    Format
    132947 bytes
    Type
    Article
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    Abstract
    The main aim of this paper is to describe two modifications to the Shenoy–Shafer architecture with the goal of making it computationally more efficient in computing marginals of the joint valuation. We also describe a modification to the Hugin architecture. Finally, we briefly compare the traditional and modified architectures by solving a couple of small Bayesian networks, and conclude with a statement of further research.
    URI
    http://hdl.handle.net/1808/170
    ISSN
    0004-3702
    Collections
    • School of Business Scholarly Works [196]
    • Distinguished Professors Scholarly Works [918]
    Citation
    Schmidt, T. and P. P. Shenoy, "Some Improvements to the Shenoy-Shafer and Hugin Architectures for Computing Marginals," Artificial Intelligence, Vol. 102, No. 2, 1998, pp. 323--333.

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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