Online bagging and boosting
Reading group: Ewa Turska presented "Online bagging and boosting" (International Workshop on Artificial Intelligence and Statistics, 2001) at 1D19 the 23/9/2022 at 10h00.
Abstract
Bagging and boosting are well-known ensemble learning methods. They ombine multiple learned base models with the aim of improving generalization performane. To date, they have been used primarily in bath mode, and no effetive online versions have been proposed. We present simple online bagging and boosting algorithms that we laim perform as well as their bath ounterparts.
