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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Detalles Bibliográficos
Autores principales: Czarnecki, Wojciech M, Podlewska, Sabina, Bojarski, Andrzej J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534515/
https://www.ncbi.nlm.nih.gov/pubmed/26273325
http://dx.doi.org/10.1186/s13321-015-0088-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534515/
https://www.ncbi.nlm.nih.gov/pubmed/26273325
http://dx.doi.org/10.1186/s13321-015-0088-0

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