Active Learning – Modern Learning Theory-Reference-Cited by-同舟云学术

Active Learning – Modern Learning Theory

Published:2016 Issue: Volume: Page:8-13
ISSN:
Container-title:Encyclopedia of Algorithms
language:
Short-container-title:

Author:

Balcan Maria-Florina,Urner Ruth

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4939-2864-4_769

Reference14 articles.

1. Awasthi P, Balcan M-F, Long PM (2014) The power of localization for efficiently learning linear separators with noise. In: Proceedings of the 46th annual symposium on the theory of computing (STOC), New York

2. Balcan MF, Beygelzimer A, Langford J (2006) Agnostic active learning. In: Proceedings of the 23rd international conference on machine learning (ICML), Pittsburgh

3. Balcan M-F, Broder A, Zhang T (2007) Margin based active learning. In: Proceedings of the 20th annual conference on computational learning theory (COLT), San Diego

4. Balcan M-F, Long PM (2013) Active and passive learning of linear separators under log-concave distributions. In: Proceedings of the 26th conference on learning theory (COLT), Princeton

5. Beygelzimer A, Hsu D, Langford J, Zhang T (2010) Agnostic active learning without constraints. In: Advances in neural information processing systems (NIPS), Vancouver

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