AdaBoost.pdf

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CSC 411 / CSC D11 / CSC C11 AdaBoost 18 AdaBoost Boosting is a general strategy for learning classifiers by combining simpler ones. The idea of boosting is to take a “weak classifier” — that is, any classifier that will do at least slightly better than chance — and use it to build a much better classifier, thereby boosting the performance of the weak classification algorithm. This boosting is done by averaging the outputs of a collection of weak classifiers. The most popular boosting algorithm is AdaBoost,…

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