Leveraging weak learners via adaptive boosting
In this last section about ensemble methods, we will discuss boosting, with a special focus on its most common implementation: Adaptive Boosting (AdaBoost).
AdaBoost recognition
The original idea behind AdaBoost was formulated by Robert E. Schapire in 1990. The Strength of Weak Learnability, R. E. Schapire, Machine Learning, 5(2): 197-227, 1990. After Robert Schapire and Yoav Freund presented the AdaBoost algorithm in the Proceedings of the Thirteenth International Conference (ICML 1996), AdaBoost became one of the most widely used ensemble methods in the years that followed (Experiments with a New Boosting Algorithm by Y. Freund, R. E. Schapire, and others, ICML, volume 96, 148-156, 1996). In 2003, Freund and Schapire received the Goedel Prize for their groundbreaking work, which is a prestigious prize for the most outstanding publications in the field of computer science.
