Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- Defense Advanced Research Projects Agency (DARPA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1510845
- Report Number(s):
- SAND2018-4223C; 662701
- Resource Relation:
- Journal Volume: 6; Journal Issue: 2; Conference: Proposed for presentation at the 2018 SIAM Conference on Uncertainty Quantification held April 16-20, 2018 in Garden Grove, CA, United States.
- Country of Publication:
- United States
- Language:
- English
A new surrogate modeling method combining polynomial chaos expansion and Gaussian kernel in a sparse Bayesian learning framework
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