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...
|Main Authors:||, ,|
|Series:||Theoretical and Applied Mechanics Letters|