Author:
Loza Mencía Eneldo,Janssen Frederik
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference54 articles.
1. Aho, T., Ženko, B., Džeroski, S., & Elomaa, T. (2012). Multi-target regression with rule ensembles. Journal of Machine Learning Research, 13(1), 2367–2407.
2. Aho, T., Zenko, B., & Dzeroski, S. (2009). Rule ensembles for multi-target regression. In Proceedings of the ninth IEEE international conference on data mining (ICDM-09) (pp. 21–30).
3. Alessandro, A., Corani, G., Mauá, D., & Gabaglio, S. (2013). An ensemble of bayesian networks for multilabel classification. In Proceedings of the twenty-third international joint conference on artificial intelligence (pp. 1220–1225). AAAI Press.
4. Allamanis, M., Tzima, F., & Mitkas, P. (2013). Effective rule-based multi-label classification with learning classifier systems. In Adaptive and natural computing algorithms, 11th international conference, ICANNGA 2013 (pp. 466–476).
5. Ávila, J., Galindo, E., & Ventura, S. (2010). Evolving multi-label classification rules with gene expression programming: A preliminary study. In E. Corchado, M. G. Romay, & A. Savio (Eds.) Hybrid artificial intelligence systems (Vol. 6077, pp. 9–16). Springer: Berlin/Heidelberg.
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