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Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences
Data science has primarily focused on big data, but for many physics, chemistry, and engineering applications, data are often small, correlated and, thus, low dimensional, and sourced from both computations and experiments with various levels of noise. Typical statistics and machine learning methods...
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| Publicado no: | Sci Adv |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association for the Advancement of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7556836/ https://ncbi.nlm.nih.gov/pubmed/33055163 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.abc3204 |
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