Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
are the critical points that lie closest to the decision boundary. The key idea behind the kernel trick is to find a way to compute the dot product between feature vectors in the high-dimensional feature space without actually computing the explicit transformation. Mathematically, the kernel trick