Binary relevance efficacy for multilabel classification

Author:

Luaces Oscar,Díez Jorge,Barranquero José,del Coz Juan José,Bahamonde Antonio

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference23 articles.

1. Bielza, C., Li, G., Larrañaga, P.: Multi-dimensional classification with bayesian networks. Int. J. Approx. Reason. 52(6), 705–727 (2011)

2. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intelli. Syst. Technol. 2, 27:1–27:27. Available at http://www.csie.ntu.edu.tw/~cjlin/libsvm/ (2011)

3. Cheng, W., Hüllermeier, E.: Combining instance-based learning and logistic regression for multilabel classification. Mach. Learn. 76(2), 211–225 (2009)

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

5. Dembczyński, K., Waegeman, W., Cheng, W., Hüllermeier, E.: An exact algorithm for f-measure maximization. In: Proceedings of the Neural Information Processing Systems (NIPS), pp. 1404–1412 (2011)

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