Machine Learning, Kernel, Hilbert Space, Mercer Theorem.
the features in the higher dimensional space. However, if the dimension of the new feature space is large than computing the dot product can be an expensive operation both in terms of time and space(to store the higher dimension features). The inner products can, however, sometimes be computed more