Gradient-Based Label Binning in Multi-label Classification-Reference-Cited by-同舟云学术

Gradient-Based Label Binning in Multi-label Classification

Published:2021 Issue: Volume: Page:462-477
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases. Research Track
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Author:

Rapp Michael,Mencía Eneldo Loza,Fürnkranz Johannes,Hüllermeier Eyke

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86523-8_28

Reference26 articles.

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3. Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of 22nd International Conference on Knowledge Discovery and Data Mining (KDD), pp. 785–794 (2016)

4. Cheng, W., Hüllermeier, E., Dembczyński, K.: Bayes optimal multilabel classification via probabilistic classifier chains. In: Proceedings of 27th International Conference on Machine Learning (ICML), pp. 279–286 (2010)

5. Dembczyński, K., Kotłowski, W., Hüllermeier, E.: Consistent multilabel ranking through univariate losses. In: Proceedings of 29th International Conference on Machine Learning (ICML), pp. 1319–1326 (2012)

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