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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
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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