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    UAI
    1996
    135views Artificial Intelligence» more  UAI 1996»
    Asymptotic Model Selection for Directed Networks with Hidden Variables
    14 years 1 days ago
    Asymptotic Model Selection for Directed Networks with Hidden Variables
    Download  research.microsoft.com
    We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
    Dan Geiger, David Heckerman, Christopher Meek
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    UAI
    1996
    111views Artificial Intelligence» more  UAI 1996»
    Network Engineering for Complex Belief Networks
    14 years 1 days ago
    Network Engineering for Complex Belief Networks
    Download  www.mathcs.emory.edu
    Developing a large belief network, like any large system, requires systems engineering to manage the design and construction process. We propose that network engineering follow a ...
    Suzanne M. Mahoney, Kathryn B. Laskey
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    UAI
    1990
    86views Artificial Intelligence» more  UAI 1990»
    separable and transitive graphoids
    13 years 12 months ago
    separable and transitive graphoids
    Download  research.microsoft.com
    We examine the notion of "unrelatedness" in a probabilistic framework. Three formulations are presented. In the first formulation, two variables a and b are totally inde...
    Dan Geiger, David Heckerman
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    UAI
    2007
    121views Artificial Intelligence» more  UAI 2007»
    Library-style Ontologies to Support Varying Model Views
    13 years 12 months ago
    Library-style Ontologies to Support Varying Model Views
    Download  ftp.informatik.rwth-aachen.de
    The next development in building Bayesian networks will most likely entail constructing multipurpose models that can be employed for varying tasks and by different types of user. ...
    Hermina J. M. Tabachneck-Schijf, Linda C. van der ...
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    UAI
    2007
    152views Artificial Intelligence» more  UAI 2007»
    User-Centered Methods for Rapid Creation and Validation of Bayesian Belief Networks
    13 years 12 months ago
    User-Centered Methods for Rapid Creation and Validation of Bayesian Belief Networks
    Download  sunsite.informatik.rwth-aachen.de
    Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
    Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, Davi...
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