Introduction to Machine Learning Final Exam
C: The kernel trick, when it is applicable, speeds up a learning algorithm if the number of sample points is substantially less than the dimension of the (lifted) feature space. D: If the raw feature vectors x;y are of dimension 2, then k(x;y) = x2 1 y 2 1 + x 2 2 y 2 2 is a valid kernel. A is correct; consider the Gaussian kernel from lecture.
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