Active Learning with Unbalanced Classes and Example-Generation Queries
HCOMP, pp. 98-107, 2018.
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
Full Text (Upload PDF)
PPT (Upload PPT)