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I have a question regarding machine learning and specifically kernel functions. Suppose we have a Kernel function, say K(x), and also another distinct one, say K'(x). I want to know is K(K'(x)) a kernel function as well? That is, if one feeds the output of a kernel function to another kernel, what does it mean? does it make sense or not?

Another question is about the expected behavior of linear combination of well-known kernels,such as RBF, polynomial and MLP. Suppose the MLP kernel yields 60% of accuracy in a classification task and RBF yields 85%. Does necessarily the RBF+MLP yield a better accuracy compared to the one resulted by MLP?

Thanks in advance.

Saeed
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  • This question appears to be off-topic because it belongs on http://stats.stackexchange.com/ – jonrsharpe Apr 07 '14 at 08:06
  • Yeah, That's true, I'll remove the one in stats.stackexchange.com – Saeed Apr 07 '14 at 08:32
  • I'm voting to close this question as off-topic because it is a mathematics question and not a programming question. It has also been posted [here](http://stats.stackexchange.com/questions/92801/cascade-combination-of-kernel-functions). – Joel Mar 09 '17 at 16:34

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