NIST · ИТ · 2c8dff5599d21b0914a2
Predicting ABM Results with Covering Arrays and Random Forests
Simulation is a useful and effective way to analyze and study complex, real-world systems. It allows researchers, practitioners, and de- cision makers to make sense of the inner working of a system that involves many factors often resulting in some sort of
NIST · ИТОфициальный источник · 2023-06-26
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"title_en": "Predicting ABM Results with Covering Arrays and Random Forests",
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"date": "2023-06-26",
"date_original": "June 26, 2023",
"url": "https://www.nist.gov/publications/predicting-abm-results-covering-arrays-and-random-forests",
"source": "NIST Publications",
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"authors_en": "Megan Olsen, M S Raunak , D. Richard Kuhn",
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"title_en": "Predicting ABM Results with Covering Arrays and Random Forests",
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