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Results tagged with adaboost
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user 293012
A popular boosting algorithm (short for "adaptive boosting"). Boosting combines weakly predictive models into a strongly predictive model.
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Weights in Adaboost
As for your first question, the only purpose of the weights is to make misclassified points in this iteration contribute more to the loss in the next iteration so the weak classifier can learn from it …
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