Lecture 13 - Kernel function for SVMs and ANNs introduction OldKiwi - Rhea

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Class Lecture Notes

(continued from [Lecture 12])

[Kernel Functions]

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Main article: [Kernel Functions]

Last class introduced [kernel functions] trick as a key to make [SVM] an effective tool for classifying linearly separable data. Here we see some examples of kernel functions, and the condition that determined if these functions correspond to dot product in some feature space.