High density-focused uncertainty sampling for active learning over evolving stream data

Dino Ienco, Indre Zliobaite, Bernhard Pfahringer

Abstract: Data labeling is an expensive and time-consuming task, hence carefully choosing which labels to use for training a model is becoming increasingly important. In the active learning setting, a classi...