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May 22, 2015 at 7:31 history edited Nikos M. CC BY-SA 3.0
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May 22, 2015 at 7:25 history edited Nikos M. CC BY-SA 3.0
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May 22, 2015 at 7:07 comment added Nikos M. @Dougal, in the sense of this answer the kernel is a weighing function or measure used to correlate data in a specific manner or to exploit certain data features, so SVM kernel methods are covered as well
May 22, 2015 at 5:30 comment added Danica I think you may be talking about kernels in the sense of kernel density estimation, not the positive-semidefinite Mercer kernels used in SVMs and related methods.
May 22, 2015 at 4:13 history answered Nikos M. CC BY-SA 3.0