| Título: | Rosen’s Projection Method for SVM Training. ESANN 2009, European Symposium on Artificial Neural Networks. Proceedings. ESAN 183-188. 22-24 April 22-24, 2009. Bruges, Belgium. |
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| Autor: | López, J., & Dorronsoro, J.R |
| Año: | 2009 |
| Enlace: | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.227.5376&rep=rep1&type=pdf |
Abstract
In this work we will give explicit formulae for the application of Rosen’s gradient projection method to SVM training that leads to a very simple implementation. We shall experimentally show that the method provides good descent directions that result in less training iterations, particularly when large precision is wanted. However, a naive kernelization may end up in a procedure requiring more KOs than SMO and further work is needed to arrive at an efficient implementation.