GoGP: scalable geometric-based Gaussian process for online regression
Knowledge and Information Systems, pp. 1-30, 2018.
One of the most challenging problems in Gaussian process regression is to cope with large-scale datasets and to tackle an online learning setting where data instances arrive irregularly and continuously. In this paper, we introduce a novel online Gaussian process model that scales efficiently with large-scale datasets. Our proposed GoGP i...更多
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