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pro vyhledávání: '"Yeontark Park"'
Autor:
Yeontark Park, Jong-Seok Lee
Publikováno v:
IEEE Access, Vol 9, Pp 158010-158026 (2021)
Imbalanced data classification is one of the most important tasks in the field of machine learning because abnormality, which is usually of our interest, appears less frequently than normality in real-world systems. Learning classifiers from imbalanc
Externí odkaz:
https://doaj.org/article/f94a5f2921364ab09353bf9e527dd376
Autor:
Jong-Seok Lee, Yeontark Park
Publikováno v:
IEEE Access, Vol 9, Pp 158010-158026 (2021)
Imbalanced data classification is one of the most important tasks in the field of machine learning because abnormality, which is usually of our interest, appears less frequently than normality in real-world systems. Learning classifiers from imbalanc
Publikováno v:
Journal of Society of Korea Industrial and Systems Engineering. 36:25-33