Discriminative Batch Mode Active Learning

NeurIPS 2007 Yuhong GuoDale Schuurmans

Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning have focused on selecting one unlabeled instance at one time while retraining in each iteration... (read more)

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