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    COLT
    1993
    Springer
    99views Machine Learning» more  COLT 1993»
    Asking Questions to Minimize Errors
    15 years 2 months ago
    Asking Questions to Minimize Errors
    Download  www.cs.technion.ac.il
    Nader H. Bshouty, Sally A. Goldman, Thomas R. Hanc...
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    56
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    COLT
    2010
    Springer
    160views Machine Learning» more  COLT 2010»
    On-line Variance Minimization in O(n2) per Trial?
    14 years 8 months ago
    On-line Variance Minimization in O(n2) per Trial?
    Download  users.soe.ucsc.edu
    Elad Hazan, Satyen Kale, Manfred K. Warmuth
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    ECML
    1998
    Springer
    85views Machine Learning» more  ECML 1998»
    Theoretical Results on Reinforcement Learning with Temporally Abstract Options
    15 years 2 months ago
    Theoretical Results on Reinforcement Learning with Temporally Abstract Options
    Download  webdocs.cs.ualberta.ca
    Doina Precup, Richard S. Sutton, Satinder P. Singh
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    85
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    COLT
    2010
    Springer
    186views Machine Learning» more  COLT 2010»
    The Convergence Rate of AdaBoost
    14 years 8 months ago
    The Convergence Rate of AdaBoost
    Download  www.cs.princeton.edu
    Abstract. We pose the problem of determining the rate of convergence at which AdaBoost minimizes exponential loss. Boosting is the problem of combining many "weak," high-...
    Robert E. Schapire
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    MICCAI
    2005
    Springer
    139views Medical Imaging» more  MICCAI 2005»
    Learning Best Features for Deformable Registration of MR Brains
    15 years 3 months ago
    Learning Best Features for Deformable Registration of MR Brains
    Download  www.med.unc.edu
    Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
    Guorong Wu, Feihu Qi, Dinggang Shen
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