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Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes
A promising approach for scalable Gaussian processes (GPs) is the Karhunen-Lo\`eve (KL) decomposition, in which the GP kernel is represented by a set of basis functions which are the eigenfunctions of the kernel operator.
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