Pages that link to "Item:Q2246331"
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The following pages link to A hybrid sequential sampling strategy for sparse polynomial chaos expansion based on compressive sampling and Bayesian experimental design (Q2246331):
Displaying 12 items.
- Compressive sampling of polynomial chaos expansions: convergence analysis and sampling strategies (Q349724) (← links)
- Sparse polynomial chaos expansions via compressed sensing and D-optimal design (Q1985532) (← links)
- An efficient and robust adaptive sampling method for polynomial chaos expansion in sparse Bayesian learning framework (Q1988073) (← links)
- Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling (Q2175295) (← links)
- Variance-based adaptive sequential sampling for polynomial chaos expansion (Q2246308) (← links)
- Least squares polynomial chaos expansion: a review of sampling strategies (Q2310855) (← links)
- A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions (Q2425261) (← links)
- Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis (Q2674097) (← links)
- A novel sparse polynomial chaos expansion technique with high adaptiveness for surrogate modelling (Q6072781) (← links)
- Classifier-based adaptive polynomial chaos expansion for high-dimensional uncertainty quantification (Q6125488) (← links)
- A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms (Q6162876) (← links)
- EMR-SSM: synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation (Q6203000) (← links)
