Expert-augmented machine learning

Machine learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption is limited by the level of trust afforded by given models. Human vs. machine performance is commonly compared empirically to decide wheth...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Proc Natl Acad Sci U S A
Prif Awduron: Gennatas, Efstathios D., Friedman, Jerome H., Ungar, Lyle H., Pirracchio, Romain, Eaton, Eric, Reichmann, Lara G., Interian, Yannet, Luna, José Marcio, Simone, Charles B., Auerbach, Andrew, Delgado, Elier, van der Laan, Mark J., Solberg, Timothy D., Valdes, Gilmer
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: National Academy of Sciences 2020
Pynciau:
Physical Sciences
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7060733/
https://ncbi.nlm.nih.gov/pubmed/32071251
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1906831117
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