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    ICML
    2005
    IEEE
    153views Machine Learning» more  ICML 2005»
    Using additive expert ensembles to cope with concept drift
    15 years 9 months ago
    Using additive expert ensembles to cope with concept drift
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    We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
    Jeremy Z. Kolter, Marcus A. Maloof
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