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Algorithms based on kernel methods play a central role in modern machine learning and nonparametric statistics. At the core of these algorithms are a number of linear algebra operations on matrices of kernel functions which take as arguments the training and testing data. These algorithms range from the simple matrix-vector product, to more complex matrix(More)
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