most citedForward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2022★ 2 cited

Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes

Kyle Hayes, Michael W. Fouts, Ali Baheri +1

A promising approach for scalable Gaussian processes (GPs) is the Karhunen-Loève (KL) decomposition, in which the GP kernel is represented by a set of basis functions which are the…