Pages that link to "Item:Q3176252"
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The following pages link to Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions (Q3176252):
Displaying 17 items.
- Enhancing sparsity of Hermite polynomial expansions by iterative rotations (Q729367) (← links)
- Sparse polynomial chaos expansions using variational relevance vector machines (Q781971) (← links)
- A generalized multi-fidelity simulation method using sparse polynomial chaos expansion (Q2033075) (← links)
- An ensemble synthetic eddy method for accurate treatment of inhomogeneous turbulence (Q2102020) (← links)
- Compressive sensing adaptation for polynomial chaos expansions (Q2214527) (← links)
- A hybrid sequential sampling strategy for sparse polynomial chaos expansion based on compressive sampling and Bayesian experimental design (Q2246331) (← links)
- Some applications of compressed sensing in computational mechanics: model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction (Q2281470) (← links)
- Divide and conquer: an incremental sparsity promoting compressive sampling approach for polynomial chaos expansions (Q2309799) (← links)
- Data-driven compressive sensing and applications in uncertainty quantification (Q2312140) (← links)
- Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations (Q2953202) (← links)
- Sparse Recovery via <i>ℓ<sub>q</sub></i>-Minimization for Polynomial Chaos Expansions (Q3176044) (← links)
- Using automatic differentiation for compressive sensing in uncertainty quantification (Q4685570) (← links)
- Compressed Sensing With Cross Validation (Q4974111) (← links)
- Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (Q4995117) (← links)
- A General Framework of Rotational Sparse Approximation in Uncertainty Quantification (Q5052909) (← links)
- A new surrogate modeling method combining polynomial chaos expansion and Gaussian kernel in a sparse Bayesian learning framework (Q6549927) (← links)
- Data-driven projection pursuit adaptation of polynomial chaos expansions for dependent high-dimensional parameters (Q6663322) (← links)
