A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification.

Cheng Chang Tieyong Zeng

Published in: CoRR (2022)

Keyphrases

gaussian process regression
data driven
gaussian processes
reinforcement learning
probabilistic model
kernel function
learning algorithm
active learning
particle filter
model selection
multi task
gaussian process
covariance function