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1 Ergebnisse
1
Adversarial Training Model Unifying Feature Driven and Poin..:
, In:
Proceedings of the 27th ACM International Conference on Information and Knowledge Management
,
Wu, Qitian
;
Yang, Chaoqi
;
Zhang, Hengrui
... - p. 517-526 , 2018
Link:
https://dl.acm.org/doi/10.1145/3269206.3271714
RT T1 <cTitle>Proceedings of the 27th ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3271714&Exemplar=1&LAN=DE A1 Wu, Qitian A1 Yang, Chaoqi A1 Zhang, Hengrui A1 Gao, Xiaofeng A1 Weng, Paul A1 Chen, Guihai PB ACM YR 2018 K1 adversarial model K1 event sequence K1 feature driven K1 point process K1 popularity prediction K1 Information systems K1 Data management systems K1 Database design and models K1 Data model extensions K1 Temporal data K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Models of learning K1 Information systems applications K1 Data mining SP 517 OP 526 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3269206.3271714 DO https://dl.acm.org/doi/10.1145/3269206.3271714 SF ELIB - SuUB Bremen
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