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ref: bookmark-0 tags: machine_learning algorithm meta_algorithm date: 0-0-2006 0:0 revision:0 [head]

Boost learning or AdaBoost - the idea is to update the discrete distribution used in training any algorithm to emphasize those points that are misclassified in the previous fit of a classifier. sensitive to outliers, but not overfitting.