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3D Probabilistic Site Characterization by Sparse Bayesian Learning
- Source :
- Journal of Engineering Mechanics. 146
- Publication Year :
- 2020
- Publisher :
- American Society of Civil Engineers (ASCE), 2020.
-
Abstract
- In this paper, the sparse Bayesian learning (SBL) approach previously proposed for the characterization of one-dimensional (1D) soil spatial variability is extended to a more realistic thre...
- Subjects :
- Computer science
business.industry
Mechanical Engineering
0211 other engineering and technologies
Probabilistic logic
02 engineering and technology
010502 geochemistry & geophysics
Machine learning
computer.software_genre
Bayesian inference
01 natural sciences
Characterization (materials science)
Statistics::Machine Learning
Mechanics of Materials
Spatial variability
Artificial intelligence
business
computer
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 19437889 and 07339399
- Volume :
- 146
- Database :
- OpenAIRE
- Journal :
- Journal of Engineering Mechanics
- Accession number :
- edsair.doi...........3f30c8b0e6afd3ecb0e2a9537b7b465f
- Full Text :
- https://doi.org/10.1061/(asce)em.1943-7889.0001859