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Accelerating Gaussian Process surrogate modeling using Compositional Kernel Learning and multi-stage sampling framework.
Seung-Seop Jin
Published in:
Appl. Soft Comput. (2021)
Keyphrases
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multistage
gaussian process
kernel learning
bayesian framework
regression model
semi supervised
multiple kernel learning
higher order
kernel methods
gaussian processes
kernel function
support vector regression
probabilistic model
model selection
dynamic programming
random sampling
kernel matrix
pairwise constraints