HIGHLIGHTS
SUMMARY
Machine learning (ML) and artificial_intelligence (AI) have transformed how problems involving model creation and decision-making from data are approached in all areas of science and engineering. For a more accessible notion of the RKHS, the authors can understand it as a set of functions that are all defined by a weighted linear combination of kernels. In simple terms, kernels are functions that get two points of the parameter space as input and return a measure of similarity of the function itself. Stationary kernels only depend on the distance between the two input points . . .
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