Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost

Understand

Logitboost is an influential boosting algorithm for classification.

• In this paper, we develop robust logitboost to provide an explicit formulation of tree-split criterion for building weak learners (regression trees) for logitboost.
• This formulation leads to a numerically stable implementation of logitboost.
• We then propose abc-logitboost for multi-class classification, by combining robust logitboost with the prior work of abc-boost.