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Learning to Make Chemical Predictions: the Interplay of Feature Representation, Data, and Machine Learning Methods
Recently supervised machine learning has been ascending in providing new predictive approaches for chemical, biological and materials sciences applications. In this Perspective we focus on the interplay of machine learning method with the chemically motivated descriptors and the size and type of dat...
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| Publicado en: | Chem |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7373218/ https://ncbi.nlm.nih.gov/pubmed/32695924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chempr.2020.05.014 |
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