MLeNN: A First Approach to Heuristic Multilabel Undersampling

Author:

Charte Francisco,Rivera Antonio J.,del Jesus María J.,Herrera Francisco

Publisher

Springer International Publishing

Reference12 articles.

1. Zhang, M.-L., Zhou, Z.-H.: A review on multi-label learning algorithms. IEEE Trans. Knowl. Data Eng. (2013)

2. He, J., Gu, H., Liu, W.: Imbalanced multi-modal multi-label learning for subcellular localization prediction of human proteins with both single and multiple sites. PloS One 7(6), 7155 (2012)

3. Lecture Notes in Computer Science;F. Charte,2013

4. Wilson, D.L.: Asymptotic properties of nearest neighbor rules using edited data. IEEE Trans. on SMC-2(3), 408–421 (1972)

5. Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining Multi-label Data. In: Maimon, O., Rokach, L. (eds.) Data Mining and Knowledge Discovery Handbook, ch. 34, pp. 667–685. Springer US, Boston (2010)

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