Second-Order Online Active Learning and Its Applications
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DOI: 10.1109/tkde.2017.2778097
Abstract: The goal of online active learning is to learn predictive models from a sequence of unlabeled data given limited label query budget. Unlike conventional online learning tasks, online active learning is considerably more challenging because… read more here.
Keywords: order online; online active; active learning; online ... See more keywords
Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams
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DOI: 10.1109/tkde.2020.3026196
Abstract: Applications challenged by the joint problem of concept drift and class imbalance are attracting increasing research interest. This paper proposes a novel Reinforcement Online Active Learning Ensemble for Drifting Imbalanced data stream (ROALE-DI). The ensemble… read more here.
Keywords: active learning; class; reinforcement online; learning ensemble ... See more keywords