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    UAI
    1998
    126views Artificial Intelligence» more  UAI 1998»
    Axiomatizing Causal Reasoning
    14 years 3 days ago
    Axiomatizing Causal Reasoning
    Download  www.jair.org
    Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized here. Axiomatizations are provided for three successively more general classes of...
    Joseph Y. Halpern
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    UAI
    1998
    96views Artificial Intelligence» more  UAI 1998»
    Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
    14 years 3 days ago
    Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
    Download  research.microsoft.com
    People using consumer software applications typically do not use technical jargon when querying an online database of help topics. Rather, they attempt to communicate their goals ...
    David Heckerman, Eric Horvitz
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    UAI
    1998
    123views Artificial Intelligence» more  UAI 1998»
    Large Deviation Methods for Approximate Probabilistic Inference
    14 years 3 days ago
    Large Deviation Methods for Approximate Probabilistic Inference
    Download  www.cis.upenn.edu
    We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
    Michael J. Kearns, Lawrence K. Saul
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    UAI
    1998
    109views Artificial Intelligence» more  UAI 1998»
    An Anytime Algorithm for Decision Making under Uncertainty
    14 years 3 days ago
    An Anytime Algorithm for Decision Making under Uncertainty
    Download  www.cs.ubc.ca
    We present an anytime algorithm which computes policies for decision problems represented as multi-stage influence diagrams. Our algorithm constructs policies incrementally, start...
    Michael C. Horsch, David Poole
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    UAI
    1998
    99views Artificial Intelligence» more  UAI 1998»
    Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
    14 years 3 days ago
    Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
    Download  reference.kfupm.edu.sa
    This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
    Ronald Parr
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