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    ICML
    2003
    IEEE
    148views Machine Learning» more  ICML 2003»
    Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
    16 years 5 months ago
    Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
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    Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper...
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    ICML
    2002
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    86views Machine Learning» more  ICML 2002»
    Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation
    16 years 5 months ago
    Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation
    Download  love.psy.utexas.edu
    David A. McAllester, János A. Csirik, Micha...
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    ICML
    2002
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    118views Machine Learning» more  ICML 2002»
    Discriminative Feature Selection via Multiclass Variable Memory Markov Model
    16 years 5 months ago
    Discriminative Feature Selection via Multiclass Variable Memory Markov Model
    Download  bejerano.stanford.edu
    Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tis...
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    ICML
    2001
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    137views Machine Learning» more  ICML 2001»
    Latent Semantic Kernels
    16 years 5 months ago
    Latent Semantic Kernels
    Download  www.lans.ece.utexas.edu
    Nello Cristianini, John Shawe-Taylor, Huma Lodhi
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    ICML
    2001
    IEEE
    129views Machine Learning» more  ICML 2001»
    General Loss Bounds for Universal Sequence Prediction
    16 years 5 months ago
    General Loss Bounds for Universal Sequence Prediction
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    The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
    Marcus Hutter
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