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Support Vector Machine refers to "a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis."

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What are kernels in support vector machine?

In principle, a Kernel is just a feature transformation in an (infinite) feature space. It is often the case, that your feature space is to simple/small, so that you are not able to divide the data pr …
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