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    BIOSURVEILLANCE
    2008
    Springer
    142views Security Privacy» more  BIOSURVEILLANCE 2008»
    Integrating a Commuting Model with the Bayesian Aerosol Release Detector
    13 years 9 months ago
    Integrating a Commuting Model with the Bayesian Aerosol Release Detector
    Download  www.dbmi.pitt.edu
    The Bayesian Aerosol Release Detector (BARD) is a biosurveillance system for detecting and characterizing disease outbreaks caused by aerosol releases of anthrax. A major challenge...
    Aurel Cami, Garrick L. Wallstrom, William R. Hogan
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    LREC
    2008
    175views Education» more  LREC 2008»
    Arabic WordNet: Semi-automatic Extensions using Bayesian Inference
    13 years 9 months ago
    Arabic WordNet: Semi-automatic Extensions using Bayesian Inference
    Download  www.lrec-conf.org
    This presentation focuses on the semi-automatic extension of Arabic WordNet (AWN) using lexical and morphological rules and applying Bayesian inference. We briefly report on the c...
    Horacio Rodríguez, David Farwell, Javi Ferr...
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    UAI
    2001
    194views Artificial Intelligence» more  UAI 2001»
    Expectation Propagation for approximate Bayesian inference
    13 years 9 months ago
    Expectation Propagation for approximate Bayesian inference
    Download  research.microsoft.com
    This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
    Thomas P. Minka
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    SIAMCO
    2011
    203views Software Engineering» more  SIAMCO 2011»
    Consistency of Sequential Bayesian Sampling Policies
    13 years 2 months ago
    Consistency of Sequential Bayesian Sampling Policies
    Download  people.orie.cornell.edu
    We consider Bayesian information collection, in which a measurement policy collects information to support a future decision. This framework includes ranking and selection, continu...
    Peter Frazier, Warren B. Powell
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    JMLR
    2012
    230views Programming Languages» more  JMLR 2012»
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    11 years 10 months ago
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    Download  www.cs.cmu.edu
    The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
    Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
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