Exploring Multi-Fidelity Data in Materials Science: Challenges, Applications, and Optimized Learning Strategies
Machine learning techniques offer tremendous potential for optimizing resource allocation in solving real-world problems. However, the emergence of multi-fidelity data introduces new challenges. This paper offers an overview of the definition, applications, data preprocessing methodologies, and lear...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2023-12-01
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| Saila: | Applied Sciences |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2076-3417/13/24/13176 |
| Etiketak: |
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