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    UAI
    2004
    134views Artificial Intelligence» more  UAI 2004»
    Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
    14 years 11 months ago
    Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
    Download  www.stat.ualberta.ca
    A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
    Peter Hooper
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    NIPS
    2007
    103views Information Technology» more  NIPS 2007»
    Sparse deep belief net model for visual area V2
    14 years 11 months ago
    Sparse deep belief net model for visual area V2
    Download  robotics.stanford.edu
    Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng
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    UAI
    2001
    118views Artificial Intelligence» more  UAI 2001»
    Bayesian Error-Bars for Belief Net Inference
    14 years 11 months ago
    Bayesian Error-Bars for Belief Net Inference
    Download  www.cs.cmu.edu
    Tim Van Allen, Russell Greiner, Peter Hooper
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    WM
    2003
    127views Knowledge Management» more  WM 2003»
    Uncertainty, Bayesian Belief Nets, and Knowledge Management
    14 years 11 months ago
    Uncertainty, Bayesian Belief Nets, and Knowledge Management
    Download  sunsite.informatik.rwth-aachen.de
    Ulrich Metschl
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    ICML
    2010
    IEEE
    203views Machine Learning» more  ICML 2010»
    Budgeted Distribution Learning of Belief Net Parameters
    14 years 10 months ago
    Budgeted Distribution Learning of Belief Net Parameters
    Download  www.sztaki.hu
    Liuyang Li, Barnabás Póczos, Csaba S...
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