Efficient Active Learning with Boosting


This paper presents an active learning strategy for boosting. In this strategy, we construct a novel objective function to unify semi-supervised learning and active learning boosting. Minimization of this objective is achieved through alternating optimization with respect to the classifier ensemble and the queried data set iteratively. Previous semi… (More)
DOI: 10.1137/1.9781611972795.105

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