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1 Ergebnisse
1
Uncertainty Quantification via Spatial-Temporal Tweedie Mod..:
, In:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
,
Jiang, Xinke
;
Zhuang, Dingyi
;
Zhang, Xianghui
... - p. 3983-3987 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583780.3615215
RT T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3615215&Exemplar=1&LAN=DE A1 Jiang, Xinke A1 Zhuang, Dingyi A1 Zhang, Xianghui A1 Chen, Hao A1 Luo, Jiayuan A1 Gao, Xiaowei PB ACM YR 2023 K1 graph neural networks K1 spatial-temporal sparse data K1 travel demand prediction K1 uncertainty quantification K1 Computing methodologies K1 Artificial intelligence K1 Planning and scheduling K1 Planning under uncertainty SP 3983 OP 3987 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3615215 DO https://dl.acm.org/doi/10.1145/3583780.3615215 SF ELIB - SuUB Bremen
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