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    UAI
    2004
    134views Artificial Intelligence» more  UAI 2004»
    Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
    13 years 9 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
    13 years 9 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
    13 years 9 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
    13 years 9 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
    13 years 8 months ago
    Budgeted Distribution Learning of Belief Net Parameters
    Download  www.sztaki.hu
    Liuyang Li, Barnabás Póczos, Csaba S...
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