due to its origin from neural network theory. This Kernel is controlled using two parameters apart from the universal parameter C which is used for allowing misclassifications,
                                                and for what is called Soft-Margin Classification, that are 'c-sigma' and alpha. c is just a parameter added to the dot product to regulate the sum and doesn't contribute much to the bias-variance tradeoff.
                                                However, \(\alpha\) on the other