Optimization Algorithms, Optimization Techniques, Machine Learning, Deep Learning, Convex Optimization.
In such cases, we use the “Kernel Trick” and/or use the soft-margin variant of SVM (controlled by the hyperparameter C in the algorithm), with the loss function being Hinge Loss. Further details about the SVM problem formulation, loss function, and the Kernel Trick can be found in this article. 6.