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Random Classification Noise Defeats All Convex Potential Boosters

Published on 2008-08-063590 Views

A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class includes AdaBoost, L

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