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pro vyhledávání: '"Ian R. B. Reeves"'
Autor:
Evan B. Goldstein, Daniel Buscombe, Eli D. Lazarus, Somya D. Mohanty, Shah Nafis Rafique, Katherine A. Anarde, Andrew D. Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin‐Si R. Over, Rose V. Palermo, Katherine M. Ratliff, Ian R. B. Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan Warrick, Phillipe Wernette, Hannah E. Williams
Publikováno v:
Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)
Abstract Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data‐driven models are only as good as the data used for training, and this
Externí odkaz:
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a
Publikováno v:
Journal of Geophysical Research: Earth Surface. 127