  We study the online variant of GentleAdaboost, where we combine a weak
learner to a strong learner in an online fashion. We provide an approach to
extend the batch approach to an online approach with theoretical justifications
through application of line search. Finally we compare our online boosting
approach with other online approaches across a variety of benchmark datasets.

Machine Learning;Machine Learning