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Benchmarking AutoML for regression tasks on small tabular data in materials design

Machine Learning has become more important for materials engineering in the last decade. Globally, automated machine learning (AutoML) is growing in popularity with the increasing demand for data analysis solutions. Yet, it is not frequently used for small tabular data. Comparisons and benchmarks al...

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Detalles Bibliográficos
Autores principales: Conrad, Felix, Mälzer, Mauritz, Schwarzenberger, Michael, Wiemer, Hajo, Ihlenfeldt, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652348/
https://www.ncbi.nlm.nih.gov/pubmed/36369464
http://dx.doi.org/10.1038/s41598-022-23327-1