Online GentleAdaBoost -- Technical Report
arXiv:2308.14004v2h-index: 4
Originality Synthesis-oriented
AI Analysis
This work provides an incremental improvement for machine learning practitioners needing online boosting algorithms.
The authors tackled the problem of adapting GentleAdaBoost to an online learning setting, achieving competitive performance with other online methods on benchmark datasets.
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.