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Robust optimization of SVM hyperparameters in the classification of bioactive compounds
BACKGROUND: Support Vector Machine has become one of the most popular machine learning tools used in virtual screening campaigns aimed at finding new drug candidates. Although it can be extremely effective in finding new potentially active compounds, its application requires the optimization of the...
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| Опубликовано в: : | J Cheminform |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer International Publishing
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4534515/ https://ncbi.nlm.nih.gov/pubmed/26273325 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-015-0088-0 |
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