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Online GentleAdaBoost -- Technical Report

Published 27 Aug 2023 in stat.ML and cs.LG | (2308.14004v2)

Abstract: 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.

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Authors (1)

  1. Chapman Siu 

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