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pro vyhledávání: '"Bean, Brennan"'
Machine learning (ML)-based solutions are rapidly changing the landscape of many fields, including structural engineering. Despite their promising performance, these approaches are usually only demonstrated as proof-of-concept in structural engineeri
Externí odkaz:
http://arxiv.org/abs/2404.12544
Publikováno v:
JSM Proceedings 2018
Improved understanding of characteristics related to weather forecast accuracy in the United States may help meteorologists develop more accurate predictions and may help Americans better interpret their daily weather forecasts. This article examines
Externí odkaz:
http://arxiv.org/abs/2303.05484
Publikováno v:
In International Journal of Approximate Reasoning January 2025 176
Autor:
Ancell, Ethan, Bean, Brennan
Many ecological and spatial processes are complex in nature and are not accurately modeled by linear models. Regression trees promise to handle the high-order interactions that are present in ecological and spatial datasets, but fail to produce physi
Externí odkaz:
http://arxiv.org/abs/2101.08258
Publikováno v:
Journal of Data Science. Apr2024, Vol. 22 Issue 2, p239-258. 20p.
Many geosciences data are imprecise due to various limitations and uncertainties in the measuring process. One way to preserve this imprecision in a geostatistical mapping framework is to characterize the measurements as intervals rather than single
Externí odkaz:
http://arxiv.org/abs/1911.09641
Autor:
Bean, Brennan Lynn, Watts, Emma
Publikováno v:
Water (20734441); Oct2024, Vol. 16 Issue 19, p2826, 21p
Akademický článek
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Publikováno v:
In International Journal of Approximate Reasoning October 2021
Publikováno v:
Journal of Data Science. Apr2023, Vol. 21 Issue 2, p368-390. 23p.