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Uncertainty Prediction for Machine Learning Models of Material Properties
[Image: see text] Uncertainty quantification in artificial intelligence (AI)-based predictions of material properties is of immense importance for the success and reliability of AI applications in materials science. While confidence intervals are commonly reported for machine learning (ML) models, p...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655759/ https://www.ncbi.nlm.nih.gov/pubmed/34901594 http://dx.doi.org/10.1021/acsomega.1c03752 |