On Wed, 2004-06-02 at 16:25, Shawkat Ali wrote:
> Hi Amaresh
>
> Either polynomial/rbf kernel will be suitabe for nonlinear problem with
> SVM. We did some research about automatic kernel selection for SVM based
> on meta-learning approach. The research has been submited in IEEE
> Transactions.That is, from a wide data characteristics we can say which
> kernel is more suitable for your problem. You can think in different way
> also. Still it is a hot research issue for SVM researcher.
How does scaling of the data relate to kernel selection? Can they be
seen as equivalent in some way?
Andy.
--
Andrew (Andy) W. Schmeder
<andy \at a2hd \dot com>
http://www.a2hd.com/
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