Boosting is a supervised learning algorithm based on research by Robert Schapire and Yoav Freund. Boosting is a technique for generating and combining multiple classifiers to improve predictive accuracy. It is a type of machine learning meta-algorithm for reducing bias in supervised learning and can be viewed as minimization of a convex loss function over a convex set of functions. At issue is…
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