Conservation machine learning: a case study of random forests

Abstract Conservation machine learning conserves models across runs, users, and experiments—and puts them to good use. We have previously shown the merit of this idea through a small-scale preliminary experiment, involving a single dataset source, 10 datasets, and a single so-called cultivation meth...

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Autores principales: Moshe Sipper, Jason H. Moore
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b36e655ed8424d698572cc136b219b51
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