Question: I have a kernel perceptron with large margin. I want to show that the updating rule ai = ai + 1 is equivilant to gradient

I have a kernel perceptron with large margin. I want to show that the updating rule ai=ai+1 is equivilant to gradient descent of the hinge loss with a single parameter and example.

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