Pramod Lakshmi Narasimha, Sanjeev S. Malalur, Michael T. Manry
In this paper, we model large support vector machines (SVMs) by smaller networks in order to decrease the computational cost. The key idea is to generate additional training patterns using a trained SVM and use these additional patterns along with the original training patterns to train a neural network. Results verify the validity of the technique.
Subjects: 14. Neural Networks; 12. Machine Learning and Discovery
Submitted: Feb 23, 2008