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    FUIN
    2008
    108views more  FUIN 2008»
    Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
    13 years 6 months ago
    Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
    Download  lirias.kuleuven.be
    Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
    Wannes Meert, Jan Struyf, Hendrik Blockeel
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    KDD
    1994
    ACM
    123views Data Mining» more  KDD 1994»
    Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    13 years 11 months ago
    Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    Download  research.microsoft.com
    We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
    David Heckerman, Dan Geiger, David Maxwell Chicker...
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    ICML
    2001
    IEEE
    162views Machine Learning» more  ICML 2001»
    An Improved Predictive Accuracy Bound for Averaging Classifiers
    14 years 8 months ago
    An Improved Predictive Accuracy Bound for Averaging Classifiers
    Download  www.kyb.tuebingen.mpg.de
    We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
    John Langford, Matthias Seeger, Nimrod Megiddo
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    ICML
    1999
    IEEE
    210views Machine Learning» more  ICML 1999»
    Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
    14 years 8 months ago
    Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
    Download  www.csse.monash.edu.au
    Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
    Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
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    ICML
    2003
    IEEE
    148views Machine Learning» more  ICML 2003»
    Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
    14 years 8 months ago
    Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
    Download  www.aaai.org
    Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper...
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