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    IJCNN
    2007
    IEEE
    107views Neural Networks» more  IJCNN 2007»
    Mixture of nonlinear models: a Bayesian fit for Principal Curves
    14 years 1 months ago
    Mixture of nonlinear models: a Bayesian fit for Principal Curves
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    Pedro Delicado, Marcelo Smrekar
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    MINENET
    2005
    ACM
    120views Computer Networks» more  MINENET 2005»
    Bayesian detection of router configuration anomalies
    14 years 1 months ago
    Bayesian detection of router configuration anomalies
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    Khalid El-Arini, Kevin S. Killourhy
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    AAAI
    2008
    119views Intelligent Agents» more  AAAI 2008»
    Exploiting Causal Independence Using Weighted Model Counting
    13 years 10 months ago
    Exploiting Causal Independence Using Weighted Model Counting
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    Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...
    Wei Li 0002, Pascal Poupart, Peter van Beek
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    EAAI
    2010
    144views more  EAAI 2010»
    Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion
    13 years 2 months ago
    Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion
    Download  hal.inria.fr
    The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The inter...
    Sylvain Verron, Teodor Tiplica, Abdessamad Kobi
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    UAI
    2003
    102views Artificial Intelligence» more  UAI 2003»
    Learning Module Networks
    13 years 9 months ago
    Learning Module Networks
    Download  jmlr.csail.mit.edu
    Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
    Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
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