Coarse sample complexity bounds for active learning

Part of Advances in Neural Information Processing Systems 18 (NIPS 2005)

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Authors

Sanjoy Dasgupta

Abstract

We characterize the sample complexity of active learning problems in terms of a parameter which takes into account the distribution over the input space, the specific target hypothesis, and the desired accuracy.