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MTSbag: A Method to Solve Class Imbalance Problems:
, In:
2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)
,
Hsiao, Yu-Hsiang
;
Su, Chao-Ton
;
Fu, Pin-Cheng
. - p. 524-529 , 2018
Link:
https://doi.org/10.1109/IIAI-AAI.2018.00113
RT T1 <cTitle>2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)</cTitle>: T1 <Title>MTSbag: A Method to Solve Class Imbalance Problems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8693450&Exemplar=1&LAN=DE A1 Hsiao, Yu-Hsiang A1 Su, Chao-Ton A1 Fu, Pin-Cheng A1 Chen, Mu-Chen YR 2018 K1 Training K1 Bagging K1 Classification algorithms K1 Urban areas K1 Numerical models K1 Data models K1 Analytical models K1 Mahalanobis–Taguchi System (MTS), Class imbalance problem, Ensemble learning, Bagging, Classification SP 524 OP 529 LK http://dx.doi.org/https://doi.org/10.1109/IIAI-AAI.2018.00113 DO https://doi.org/10.1109/IIAI-AAI.2018.00113 SF ELIB - SuUB Bremen
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