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1 Ergebnisse
1
Task-wise Split Gradient Boosting Trees for Multi-center Di..:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Chen, Mingcheng
;
Wang, Zhenghui
;
Zhao, Zhiyun
... - p. 2663-2673 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467123
RT T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3467123&Exemplar=1&LAN=DE A1 Chen, Mingcheng A1 Wang, Zhenghui A1 Zhao, Zhiyun A1 Zhang, Weinan A1 Guo, Xiawei A1 Shen, Jian A1 Qu, Yanru A1 Lu, Jieli A1 Xu, Min A1 Xu, Yu A1 Wang, Tiange A1 Li, Mian A1 Tu, Weiwei A1 Yu, Yong A1 Bi, Yufang A1 Wang, Weiqing A1 Ning, Guang PB ACM YR 2021 K1 diabetes prediction K1 gradient tree boosting K1 health informatics K1 multi-task learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Multi-task learning K1 Applied computing K1 Life and medical sciences K1 Health care information systems SP 2663 OP 2673 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467123 DO https://dl.acm.org/doi/10.1145/3447548.3467123 SF ELIB - SuUB Bremen
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