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1 Ergebnisse
1
ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in..:
, In:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
,
Li, Shuhao
;
Cui, Yue
;
Zhao, Yan
... - p. 1208-1217 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583780.3615068
RT T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3615068&Exemplar=1&LAN=DE A1 Li, Shuhao A1 Cui, Yue A1 Zhao, Yan A1 Yang, Weidong A1 Zhang, Ruiyuan A1 Zhou, Xiaofang PB ACM YR 2023 K1 debiasing K1 mixture-of-experts K1 spatio-temporal representation K1 traffic prediction K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Models of learning SP 1208 OP 1217 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3615068 DO https://dl.acm.org/doi/10.1145/3583780.3615068 SF ELIB - SuUB Bremen
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