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Data-centric approach to improve machine learning models for inorganic materials
Pandey et al. (2021) demonstrate the importance of diversifying training data to make balanced predictions of thermodynamic properties for inorganic crystals.
| Autor principal: | |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600243/ https://www.ncbi.nlm.nih.gov/pubmed/34820652 http://dx.doi.org/10.1016/j.patter.2021.100382 |
| _version_ | 1784601110074359808 |
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| author | Bartel, Christopher J. |
| author_facet | Bartel, Christopher J. |
| author_sort | Bartel, Christopher J. |
| collection | PubMed |
| description | Pandey et al. (2021) demonstrate the importance of diversifying training data to make balanced predictions of thermodynamic properties for inorganic crystals. |
| format | Online Article Text |
| id | pubmed-8600243 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-86002432021-11-23 Data-centric approach to improve machine learning models for inorganic materials Bartel, Christopher J. Patterns (N Y) Preview Pandey et al. (2021) demonstrate the importance of diversifying training data to make balanced predictions of thermodynamic properties for inorganic crystals. Elsevier 2021-11-12 /pmc/articles/PMC8600243/ /pubmed/34820652 http://dx.doi.org/10.1016/j.patter.2021.100382 Text en © 2021 The Author https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| spellingShingle | Preview Bartel, Christopher J. Data-centric approach to improve machine learning models for inorganic materials |
| title | Data-centric approach to improve machine learning models for inorganic materials |
| title_full | Data-centric approach to improve machine learning models for inorganic materials |
| title_fullStr | Data-centric approach to improve machine learning models for inorganic materials |
| title_full_unstemmed | Data-centric approach to improve machine learning models for inorganic materials |
| title_short | Data-centric approach to improve machine learning models for inorganic materials |
| title_sort | data-centric approach to improve machine learning models for inorganic materials |
| topic | Preview |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600243/ https://www.ncbi.nlm.nih.gov/pubmed/34820652 http://dx.doi.org/10.1016/j.patter.2021.100382 |
| work_keys_str_mv | AT bartelchristopherj datacentricapproachtoimprovemachinelearningmodelsforinorganicmaterials |