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    2004
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    Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
    14 years 27 days ago
    Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
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    We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
    Vladimir Koltchinskii, Manel Martínez-Ram&o...
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