article · 2008
Coarse Sample Complexity Bounds for Active
Learning Sanjoy Dasgupta, Sanjoy Dasgupta
Cited by 0Abstract and details only
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.
Cite this paper
Dasgupta, L. S., & Dasgupta, S. (2008). Coarse Sample Complexity Bounds for Active.
Dasgupta, Learning Sanjoy, and Sanjoy Dasgupta. “Coarse Sample Complexity Bounds for Active.” 2008.
Dasgupta, Learning Sanjoy, and Sanjoy Dasgupta. 2008. “Coarse Sample Complexity Bounds for Active.”
Dasgupta, L.S. and Dasgupta, S. (2008) ‘Coarse Sample Complexity Bounds for Active’.
@article{dasgupta2008coarse,
title = {{Coarse Sample Complexity Bounds for Active}},
author = {Dasgupta, Learning Sanjoy and Dasgupta, Sanjoy},
year = {2008}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.