Dynamic class imbalance learning for incremental LPSVM

Author:

Pang Shaoning,Zhu Lei,Chen Gang,Sarrafzadeh Abdolhossein,Ban Tao,Inoue Daisuke

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference43 articles.

1. Akbani, R., Kwek, S., & Japkowicz, N. (2004). Applying support vector machines to imbalanced datasets. In Proceedings of the 15th European conference on machine learning, ECML (pp. 39–50).

2. FSVM-CIL: fuzzy support vector machines for class imbalance learning;Batuwita;IEEE Transactions on Fuzzy Systems,2010

3. Cauwenberghs, G., & Poggio, T. (2000). Incremental and decremental support vector machine learning. In Advances in neural information processing systems NIPS’2000 (pp. 409–415).

4. LIBSVM: a library for support vector machines;Chang;ACM Transactions on Intelligent Systems and Technology,2011

5. Smote: synthetic minority over-sampling technique;Chawla;Journal of Artificial Intelligence Research,2002

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