Learning from imbalanced data sets with a Min-Max modular support vector machine

Author:

Bao-Liang Lu,Xiao-Lin Wang,Yang Yang,Hai Zhao

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Reference77 articles.

1. He H B, Garcia E A. Learning from imbalanced data. IEEE Transaction on Knowledge and Data Engineering, 2009, 21(9): 1263–1284

2. Japkowicz N. Learning from imbalanced data sets. In: Proceedings of Workshops at the 17th National Conference on Artificial Intelligence, 2000

3. Chawla N V, Japkowicz N, Kolcz A. Workshop Learning from Imbalanced Data Sets II, Machine Learning, 2003

4. Chawla N V, Japkowicz N, Kolcz A. Editorial: special issue on learning from imbalanced data sets. ACM SIGKDD Explorations Newsletter, 2004, 6(1): 1–6

5. Lu B L, Wang K A, Utiyama M, Isahara H. A part-versuspart method for massively parallel training of support vector machines. In: Proceedings of IEEE/INNS International Joint Conference on Neural Networks. 2004, 735–740

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