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    Binary Join Trees

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    UAI96.pdf (169.8Kb)
    Issue Date
    1996
    Author
    Shenoy, Prakash P.
    Publisher
    Morgan Kaufmann Publishers
    Format
    173941 bytes
    Type
    Book chapter
    Metadata
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    Abstract
    The main goal of this paper is to describe a datastructure called binary join trees that are useful incomputing multiple marginals efficiently usingthe Shenoy-Shafer architecture. We define binaryjoin trees, describe their utility, and sketch a procedure for constructing them.
    Description
    A longer and updated version of this paper appears in: Shenoy, P. P., "Binary Join Trees for Computing Marginals in the Shenoy-Shafer Architecture," International Journal of Approximate Reasoning, 17(2--3), 1997, 239--263 (available from <http://hdl.handle.net/1808/172>.
    URI
    http://hdl.handle.net/1808/178
    ISBN
    1-55860-412-X
    Collections
    • Distinguished Professors Scholarly Works [918]
    • School of Business Scholarly Works [216]
    Citation
    Shenoy, P. P., "Binary Join Trees," in E. Horvitz and F. V. Jensen (eds.), Uncertainty in Artificial Intelligence, Vol. 12, 1996, pp. 492--499, Morgan Kaufmann, San Francisco, CA.

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    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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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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