Multilabel classification using heterogeneous ensemble of multi-label classifiers

Author:

Tahir Muhammad Atif,Kittler Josef,Bouridane Ahmed

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

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2. Chawla, N.V., Sylvester, J.C., 2007. Exploiting diversity in ensembles: Improving the performance on unbalanced datasets. In: Proceedings of Multiple Classifier Systems.

3. Combining instance-based learning and logistic regression for multilabel classification;Cheng;Mach. Learn.,2009

4. Dimou, A., Tsoumakas, G., Mezaris, V., Kompatsiaris, I., Vlahavas, I., 2009. An empirical study of multi-label learning methods for video annotation. In: Proceedings of the 7th International Workshop on CBMI, Chania, Greece.

5. The distance weighted k-nearest neighbor rule;Dudani;IEEE Trans. Syst. Man Cybernat.,1976

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