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Filtering by: Creator Reitz, Stuart R. Remove constraint Creator: Reitz, Stuart R. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Rights Statement In Copyright Remove constraint Rights Statement: In Copyright Subject Algorithms Remove constraint Subject: Algorithms

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  • Shrunken learning rates do not improve AdaBoost on benchmark datasets

    Creator:
    Forrest, Daniel L. K.
    Abstract:
    Recent work has shown that AdaBoost can be viewed as an algorithm that maximizes the margin on the training data via functional gradient descent. Under this interpretation, the weight computed by AdaBoost, for each hypothesis generated, can be viewed as a step size parameter in a gradient descent search. Friedman...
    Resource Type:
    Masters Thesis
    Full Text:
    problems that fit into this framework depending on the values of y. If y E R, the problem is called