NeurIPS 2005
Coarse sample complexity bounds for active 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