Dimensionality reduction for complex models via Bayesian compressive sensing.
Journal Article
·
· Proposed for publication in International Journal for Uncertainty Quantification.
OSTI ID:1072527
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1072527
- Report Number(s):
- SAND2012-10758J
- Journal Information:
- Proposed for publication in International Journal for Uncertainty Quantification., Journal Name: Proposed for publication in International Journal for Uncertainty Quantification.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Surrogate Construction and Dimensionality Reduction via Bayesian Compressive Sensing.
Bayesian compressive sensing and dimensionality reduction for high-dimensional models.
Adaptive Basis Selection and Dimensionality Reduction with Bayesian Compressive Sensing.
Conference
·
Mon Jul 01 00:00:00 EDT 2013
·
OSTI ID:1072527
+3 more
Bayesian compressive sensing and dimensionality reduction for high-dimensional models.
Conference
·
Sun Dec 01 00:00:00 EST 2013
·
OSTI ID:1072527
Adaptive Basis Selection and Dimensionality Reduction with Bayesian Compressive Sensing.
Conference
·
Sun Apr 01 00:00:00 EDT 2012
·
OSTI ID:1072527