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Combining active learning suggestions

Tran, Alasdair; Ong, Cheng Soon; Wolf, Christian


We study the problem of combining active learning suggestions to identify informative training examples by empirically comparing methods on benchmark datasets. Many active learning heuristics for classification problems have been proposed to help us pick which instance to annotate next. But what is the optimal heuristic for a particular source of data? Motivated by the success of methods that combine predictors, we combine active learners with bandit algorithms and rank aggregation methods. We...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: PeerJ Computer Science
DOI: 10.7717/peerj-cs.157
Access Rights: Open Access


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