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Title: Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.

Conference ·
DOI:https://doi.org/10.1137/17M1141096· OSTI ID:1510845

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

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A new surrogate modeling method combining polynomial chaos expansion and Gaussian kernel in a sparse Bayesian learning framework journal July 2019

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