Second-order online active learning and its applications

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 of two reasons. First, it is difficult to design an effectiv...

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Bibliographic Details
Main Authors: Hao, Shuji, Lu, Jing, Zhao, Peilin, Zhang, Chi, Hoi, Steven C. H., Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/140784
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Institution: Nanyang Technological University
Language: English

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