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    Challenges and Benchmark Datasets for Machine Learning in the Atmospheric Sciences: Definition, Status, and Outlook 

    Source: Artificial Intelligence for the Earth Systems:;2022:;volume( 001 ):;issue: 003
    Author(s): Peter D. Dueben; Martin G. Schultz; Matthew Chantry; David John Gagne; David Matthew Hall; Amy McGovern
    Publisher: American Meteorological Society
    Abstract: Benchmark datasets and benchmark problems have been a key aspect for the success of modern machine learning applications in many scientific domains. Consequently, an active discussion about benchmarks for applications of ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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