References
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
Yoav Freund & Robert E Schapire (1997)
Journal of Computer and System Sciences , 55(1), 119-139.
DOI: https://doi.org/10.1006/jcss.1997.1504
Abstract. Introduces
AdaBoost , which combines weak learners sequentially by reweighting misclassified examples. The paper proves that the training error converges to zero exponentially fast provided each base learner performs slightly better than chance.
Tags: ensembles boosting
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