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    UAI
    1993
    110views Artificial Intelligence» more  UAI 1993»
    Utility-Based Abstraction and Categorization
    13 years 11 months ago
    Utility-Based Abstraction and Categorization
    Download  research.microsoft.com
    Based Abstraction and Categorization Eric J. Horvitz∗ and Adrian C. Klein Palo Alto Laboratory Rockwell International Science Center 444 High Street Palo Alto, CA 94301 We take ...
    Eric Horvitz, Adrian Klein
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    UAI
    1993
    88views Artificial Intelligence» more  UAI 1993»
    Using Causal Information and Local Measures to Learn Bayesian Networks
    13 years 11 months ago
    Using Causal Information and Local Measures to Learn Bayesian Networks
    Download  www.cs.toronto.edu
    In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
    Wai Lam, Fahiem Bacchus
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    UAI
    1994
    120views Artificial Intelligence» more  UAI 1994»
    A Decision-based View of Causality
    13 years 11 months ago
    A Decision-based View of Causality
    Download  research.microsoft.com
    Most traditional models of uncertainty have focused on the associational relationship among variables as captured by conditional dependence. In order to successfully manage intell...
    David Heckerman, Ross D. Shachter
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    UAI
    1996
    146views Artificial Intelligence» more  UAI 1996»
    Context-Specific Independence in Bayesian Networks
    13 years 11 months ago
    Context-Specific Independence in Bayesian Networks
    Download  robotics.stanford.edu
    Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
    Craig Boutilier, Nir Friedman, Moisés Golds...
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    UAI
    1996
    151views Artificial Intelligence» more  UAI 1996»
    Learning Equivalence Classes of Bayesian Network Structures
    13 years 11 months ago
    Learning Equivalence Classes of Bayesian Network Structures
    Download  jmlr.csail.mit.edu
    Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
    David Maxwell Chickering
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