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NeurIPS 2005

Coarse sample complexity bounds for active learning

Conference Paper Artificial Intelligence ยท Machine Learning

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.

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Context

Venue
Annual Conference on Neural Information Processing Systems
Archive span
1987-2025
Indexed papers
30776
Paper id
151781501591632512