GoGP: Fast Online Regression with Gaussian Processes

ICDM, pp. 257-266, 2017.

Cited by: 7|Views13


One of the most current challenging problems in Gaussian process regression (GPR) is to handle large-scale datasets and to accommodate an online learning setting where data arrive irregularly on the fly. In this paper, we introduce a novel online Gaussian process model that could scale with massive datasets. Our approach is formulated bas...More



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