Web: http://arxiv.org/abs/2206.08201

June 17, 2022, 1:12 a.m. | Michail Spitieris, Ingelin Steinsland

stat.ML updates on arXiv.org arxiv.org

A digital twin is a computer model that represents an individual, for
example, a component, a patient or a process. In many situations, we want to
gain knowledge about an individual from its data while incorporating imperfect
physical knowledge and also learn from data from other individuals. In this
paper, we introduce and demonstrate a fully Bayesian methodology for learning
between digital twins in a setting where the physical parameters of each
individual are of interest. For each individual, the …

arxiv digital digital twins gaussian processes learning ml models physics processes

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