Ensemble of SVMs for Incremental Learning

Author:

Erdem Zeki,Polikar Robi,Gurgen Fikret,Yumusak Nejat

Publisher

Springer Berlin Heidelberg

Reference20 articles.

1. Vapnik, V.: Statistical Learning Theory. Wiley, New York (1998)

2. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge (2000)

3. Grossberg, S.: Nonlinear neural networks: principles, mechanisms and architectures. Neural Networks 1(1), 17–61 (1988)

4. French, R.: Catastrophic forgetting in connectionist networks: Causes, Consequences and Solutions. Trends in Cognitive Sciences 3(4), 128–135 (1999)

5. Polikar, R., Udpa, L., Udpa, S., Honavar, V.: Learn++: An incremental learning algorithm for multilayer perceptrons. In: Proceedings of 25th. IEEE International Conference on Acoustics, Speech and Signal Processing, Istanbul, Turkey, vol. 6, pp. 3414–3417 (2000)

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