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    Solving stochasic PERT networks exactly using hybrid Bayesian networks

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    WUPES06.pdf (1.124Mb)
    Issue Date
    2006-09-16
    Author
    Cinicioglu, Esma N.
    Shenoy, Prakash P.
    Publisher
    Oeconomica Publishers
    Format
    1179548 bytes
    Type
    Book chapter
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    Abstract
    In this paper, we describe how a stochastic PERT network can be formulated as a Bayesian network. We approximate such PERT Bayesian network by mixtures of Gaussians hybrid Bayesian networks. Since there exists algorithms for solving mixtures of Gaussians hybrid Bayesian networks exactly, we can use these algorithms to make inferences in PERT Bayesian networks.
    URI
    http://hdl.handle.net/1808/1081
    ISBN
    80-245-1079-0
    Collections
    • School of Business Scholarly Works [212]
    • Distinguished Professors Scholarly Works [918]
    Citation
    Cinicioglu, E. N. and P. P. Shenoy, "Solving stochasic PERT networks exactly using hybrid Bayesian networks," in Proceedings of the 7th Workshop on Uncertainty Processing, 2006, pp. 183--197, Oeconomica Publishers.

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    KU Libraries
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    785-864-8983

    KU Libraries
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    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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