Stopping criterion for active learning based on deterministic generalization bounds

15 May 2020Hideaki IshibashiHideitsu Hino

Active learning is a framework in which the learning machine can select the samples to be used for training. This technique is promising, particularly when the cost of data acquisition and labeling is high... (read more)

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