Adaptive batch mode active learning

Conference/Journal
IEEE
Authors
Shayok Chakraborty Vineeth N Balasubramanian Sethuraman Panchanathan
BibTex
Abstract
Abstract: Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar and representative instances to be selected for manual annotation. More recently, there have been attempts toward a batch mode form of active learning, where a batch of data points is simultaneously selected from an unlabeled set. Real-world applications require adaptive approaches for ...