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    UAI
    1998
    109views Artificial Intelligence» more  UAI 1998»
    An Anytime Algorithm for Decision Making under Uncertainty
    14 years 24 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
    123views Artificial Intelligence» more  UAI 1998»
    Large Deviation Methods for Approximate Probabilistic Inference
    14 years 24 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
    92views Artificial Intelligence» more  UAI 1998»
    Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks
    14 years 24 days ago
    Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks
    Download  www.cis.upenn.edu
    Michael J. Kearns, Yishay Mansour
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    UAI
    1998
    96views Artificial Intelligence» more  UAI 1998»
    Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
    14 years 24 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
    126views Artificial Intelligence» more  UAI 1998»
    Axiomatizing Causal Reasoning
    14 years 24 days ago
    Axiomatizing Causal Reasoning
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    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
    91views Artificial Intelligence» more  UAI 1998»
    Hierarchical Solution of Markov Decision Processes using Macro-actions
    14 years 24 days ago
    Hierarchical Solution of Markov Decision Processes using Macro-actions
    Download  www.cs.toronto.edu
    tigate the use of temporally abstract actions, or macro-actions, in the solution of Markov decision processes. Unlike current models that combine both primitive actions and macro-...
    Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kae...
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    UAI
    1998
    168views Artificial Intelligence» more  UAI 1998»
    Learning the Structure of Dynamic Probabilistic Networks
    14 years 24 days ago
    Learning the Structure of Dynamic Probabilistic Networks
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    Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
    Nir Friedman, Kevin P. Murphy, Stuart J. Russell
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    UAI
    1998
    248views Artificial Intelligence» more  UAI 1998»
    The Bayesian Structural EM Algorithm
    14 years 24 days ago
    The Bayesian Structural EM Algorithm
    Download  www.cs.huji.ac.il
    In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
    Nir Friedman
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    UAI
    1998
    86views Artificial Intelligence» more  UAI 1998»
    Utility Elicitation as a Classification Problem
    14 years 24 days ago
    Utility Elicitation as a Classification Problem
    Download  www.aaai.org
    The majority of real-world probabilistic systems are used by more than one user, thus a utility model must be elicited separately for each newuser. Utility elicitation is long and...
    Urszula Chajewska, Lise Getoor, Joseph Norman, Yuv...
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    UAI
    1998
    194views Artificial Intelligence» more  UAI 1998»
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    14 years 24 days ago
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    Download  www.cs.pitt.edu
    John S. Breese, David Heckerman, Carl Myers Kadie
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