Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning
| Author(s): |
L. A. Bull
(The Alan Turing Institute The British Library London UK)
D. Di Francesco (The Alan Turing Institute The British Library London UK) M. Dhada (Institute for Manufacturing, Department of Engineering University of Cambridge Cambridge UK) O. Steinert (Strategic Product Planning and Advanced Analytics Scania CV, Scania AB (publ) Södertälje Sweden) T. Lindgren (Department of Computer and Systems Sciences Stockholm University Kista Sweden) A. K. Parlikad (Institute for Manufacturing, Department of Engineering University of Cambridge Cambridge UK) A. B. Duncan (The Alan Turing Institute The British Library London UK) M. Girolami (The Alan Turing Institute The British Library London UK) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Computer-Aided Civil and Infrastructure Engineering, August 2023, n. 7, v. 38 |
| Page(s): | 821-848 |
| DOI: | 10.1111/mice.12901 |
- About this
data sheet - Reference-ID
10686072 - Published on:
13/08/2022 - Last updated on:
21/04/2023
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