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Compressive sensing adaptation for polynomial chaos expansions
Basis adaptation in Homogeneous Chaos spaces rely on a suitable rotation of the underlying Gaussian germ.
Efficient Bayesian experimentation using an expected information gain lower bound
We propose a framework where a lower bound of the expected information gain is used as an alternative design criterion.
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