A note on active learning for smooth problems
Machine Learning
2015-03-19 v1 Machine Learning
Abstract
We show that the disagreement coefficient of certain smooth hypothesis classes is , where is the dimension of the hypothesis space, thereby answering a question posed in \cite{friedman09}.
Cite
@article{arxiv.1103.3095,
title = {A note on active learning for smooth problems},
author = {Satyaki Mahalanabis},
journal= {arXiv preprint arXiv:1103.3095},
year = {2015}
}