Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming

Author:

de Sá Alex G. C.,Freitas Alex A.,Pappa Gisele L.

Publisher

Springer International Publishing

Reference16 articles.

1. de Sá, A.G.C., Freitas, A.A., Pappa, G.L.: Multi-label classification search space in the MEKA software. Technical report, UFMG (2018). https://github.com/laic-ufmg/automlc/tree/master/PPSN/MLC-SearchSpace.pdf

2. de Sá, A.G.C., Pappa, G.L., Freitas, A.A.: Towards a method for automatically selecting and configuring multi-label classification algorithms. In: Proceedings of GECCO Companion, pp. 1125–1132 (2017)

3. Lecture Notes in Computer Science;AGC Sá de,2017

4. Demšar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1–30 (2006)

5. Feurer, M., Klein, A., Eggensperger, K., et al.: Efficient and robust automated machine learning. In: Proceedings of the International Conference on Neural Information Processing Systems, pp. 2755–2763 (2015)

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