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Gaussian process regression and conditional polynomial chaos for parameter estimation
DOI:10.1016/j.jcp.2020.109520.png)
Abstract
En
Keywords:
BAYESIAN EXPERIMENTAL-DESIGN
DIFFERENTIAL-EQUATIONS
APPROXIMATION
SIMULATION
MINIMIZATION
ALGORITHMS
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3.8
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1.5W
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