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1 Ergebnisse
1
Variational Flow Graphical Model:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Ren, Shaogang
;
Karimi, Belhal
;
Li, Dingcheng
. - p. 1493-1503 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539450
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Variational Flow Graphical Model</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539450&Exemplar=1&LAN=DE A1 Ren, Shaogang A1 Karimi, Belhal A1 Li, Dingcheng A1 Li, Ping PB ACM YR 2022 K1 flow-based model K1 generative model K1 variational inference K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Probabilistic reasoning K1 Neural networks K1 Learning in probabilistic graphical models K1 Bayesian network models SP 1493 OP 1503 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539450 DO https://dl.acm.org/doi/10.1145/3534678.3539450 SF ELIB - SuUB Bremen
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