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1 Ergebnisse
1
Adaptive Multi-Source Causal Inference from Observational D..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Vo, Thanh Vinh
;
Wei, Pengfei
;
Hoang, Trong Nghia
. - p. 1975-1985 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557230
RT T1
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
: T1
Adaptive Multi-Source Causal Inference from Observational Data
UL https://suche.suub.uni-bremen.de/peid=acm-3557230&Exemplar=1&LAN=DE A1 Vo, Thanh Vinh A1 Wei, Pengfei A1 Hoang, Trong Nghia A1 Leong, Tze Yun PB ACM YR 2022 K1 causal inference K1 heterogeneous treatment effect K1 representer theorem K1 transfer learning K1 Mathematics of computing K1 Probability and statistics K1 Probabilistic representations K1 Causal networks K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Multi-task learning K1 Transfer learning K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Causal reasoning and diagnostics K1 Machine learning approaches K1 Learning in probabilistic graphical models K1 Latent variable models K1 Probabilistic reasoning algorithms K1 Variational methods K1 Kernel methods SP 1975 OP 1985 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557230 DO https://dl.acm.org/doi/10.1145/3511808.3557230 SF ELIB - SuUB Bremen
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