Home ›
Entities
› academia
› Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification
Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification
Research article (Mechanical Systems and Signal Processing, 2022) · cited 26× · AI/ML
Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification
Summary
Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification is a scholarly article[1].
Key Facts
Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-laplace-prior-based-sparse-bayesian-learning-for-structural-damage-identification-and-uncertainty-quantificati