Scaling tree-based automated machine learning to biomedical big data with a feature set selector

MOTIVATION: Automated machine learning (AutoML) systems are helpful data science assistants designed to scan data for novel features, select appropriate supervised learning models and optimize their parameters. For this purpose, Tree-based Pipeline Optimization Tool (TPOT) was developed using strong...

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Detalles Bibliográficos
Autores principales: Le, Trang T, Fu, Weixuan, Moore, Jason H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956793/
https://www.ncbi.nlm.nih.gov/pubmed/31165141
http://dx.doi.org/10.1093/bioinformatics/btz470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956793/
https://www.ncbi.nlm.nih.gov/pubmed/31165141
http://dx.doi.org/10.1093/bioinformatics/btz470

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