Multi-label active learning: key issues and a novel query strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12530-017-9202-z.pdf
Reference23 articles.
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3. Cherman EA, Tsoumakas G, Monard MC (2016) Active learning algorithms for multi-label data. In: Proceedings of the 12th IFIP international conference on artificial intelligence applications and innovations (AIAI 2016), Thessaloniki, pp 1–12
4. Demšar J (2006) Statistical comparison of classifiers over multiple data sets. J Mach Learn Res 7(1):1–30
5. Esuli A, Sebastiani F (2009) Active learning strategies for multi-label text classification. In: Proceedings of the 31st European conference on IR research, ECIR ’09. Springer, Berlin, pp 102–113
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