Does anyone have any experience with Multiple Kernel Learning (linear combination of kernels in an SVM) compared to normal SVM. Are there advantages in terms of accuracy? From what I've read it doesn't look like it so I was wondering what the advantage of using MKL over an SVM would be? Or is it dependent on what MKL algorithm is used?
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