Nonnegativity-enforced Gaussian process regression

ABSTRACT: Gaussian process (GP) regression is a flexible non-parametric approach to approximate complex models. In many cases, these models correspond to processes with bounded physical properties. Standard GP regression typically results in a proxy model which is unbounded for all temporal or spaci...

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Bibliographic Details
Main Authors: Andrew Pensoneault, Xiu Yang, Xueyu Zhu
Format: Article
Published: Elsevier 2020-03-01
Series:Theoretical and Applied Mechanics Letters
Online Access: