Arrow Research search
Back to ICML

ICML 2017

Diameter-Based Active Learning

Conference Paper Accepted Paper Artificial Intelligence ยท Machine Learning

Abstract

To date, the tightest upper and lower-bounds for the active learning of general concept classes have been in terms of a parameter of the learning problem called the splitting index. We provide, for the first time, an efficient algorithm that is able to realize this upper bound, and we empirically demonstrate its good performance.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
International Conference on Machine Learning
Archive span
1993-2025
Indexed papers
16471
Paper id
103024340448124703