Mathematical Challenge May 2017

Juli 5, 2017

Model boosting is a very successful and widely used technique to build classifiers [1]. Essentially, it allows to obtain a powerful ensemble classifier from a “weak” base classifier, whose error rate is slightly better than random guessing.

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