Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series

21 Apr 2019Feng YinLishuo PanXinwei HeTianshi ChenSergios TheodoridisZhi-QuanLuo

Gaussian processes (GP) for machine learning have been studied systematically over the past two decades and they are by now widely used in a number of diverse applications. However, GP kernel design and the associated hyper-parameter optimization are still hard and to a large extend open problems... (read more)

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