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1 Ergebnisse
1
Switching Gaussian Mixture Variational RNN for Anomaly Dete..:
, In:
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
,
Dai, Liang
;
Chen, Wenchao
;
Liu, Yanwei
... - p. 300-309 , 2022
Link:
https://doi.org/10.1109/INFOCOM48880.2022.9796836
RT T1
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
: T1
Switching Gaussian Mixture Variational RNN for Anomaly Detection of Diverse CDN Websites
UL https://suche.suub.uni-bremen.de/peid=ieee-9796836&Exemplar=1&LAN=DE A1 Dai, Liang A1 Chen, Wenchao A1 Liu, Yanwei A1 Argyriou, Antonios A1 Liu, Chang A1 Lin, Tao A1 Wang, Penghui A1 Xu, Zhen A1 Chen, Bo YR 2022 SN 2641-9874 K1 Deep learning K1 Recurrent neural networks K1 Computational modeling K1 Key performance indicator K1 Time series analysis K1 Switches K1 Gaussian distribution K1 Multivariate Anomaly Detection K1 CDN K1 Probabilistic Mixture Model K1 Variational Recurrent Neural Network K1 Switching Mechanism SP 300 OP 309 LK http://dx.doi.org/https://doi.org/10.1109/INFOCOM48880.2022.9796836 DO https://doi.org/10.1109/INFOCOM48880.2022.9796836 SF ELIB - SuUB Bremen
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