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Active Learning with Unbalanced Classes and Example-Generation Queries.

HCOMP, pp.98-107, (2018)

Cited by: 4|Views137
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Abstract

Machine learning in real-world high-skew domains is difficult, because traditional strategies for crowdsourcing labeled training examples are ineffective at locating the scarce minority-class examples. For example, both random sampling and traditional active learning (which reduces to random sampling when just starting) will most likely r...More

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