Small Models of Large Machines

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

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