Re: SVM and positive definiteness

BJ Jain <[EMAIL PROTECTED]> wrote:
> Hello,

> is there some work about svm using "kernels" which are not positive 
> definite?

> Does ist make sense to use "kernels" which are not positive definite?

That depends. AFAIK there are cases where "invalid" kernels work, 
the theory says "kernel positive ==> SVM can be trained", but there
is no general proof negating the other direction.

I think you should try it. I think it depends on how "not positive"
your kernel is: build the Kernel-Matrix and look at the negative
eigenvalues...

Greetings, Uwe


-- 
Dr. rer. nat. Uwe Schmitt   http://www.procoders.net                      
[EMAIL PROTECTED]      "A service to open source is a service to mankind."