Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
The dual form of SVM is derived from the primal form and offers computational advantages particularly when dealing with high dimensional data. In dual form of SVM we reformulate the original optimization problem as, where, αi is the Lagrange multiplier associated with the ith training sample. K(xi,