Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
of overlap. When you don't know which kernel to use, radial basis kernel comes in hand. where x1 and x2 are input data points, ||.|| denotes the Euclidean distance, and gamma is the kernel parameter. Consider the instance of image classification(cats and dogs) where the original data points are in