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1
Generative Perturbation Analysis for Probabilistic Black-Bo..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Idé, Tsuyoshi
;
Abe, Naoki
- p. 845-856 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599365
RT T1
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
UL https://suche.suub.uni-bremen.de/peid=acm-3599365&Exemplar=1&LAN=DE A1 Idé, Tsuyoshi A1 Abe, Naoki PB ACM YR 2023 K1 anomaly attribution K1 explainable ai (xai) K1 generative model K1 integrated gradient K1 shapley value K1 variational inference K1 Mathematics of computing K1 Probability and statistics K1 Probabilistic reasoning algorithms K1 Variational methods K1 Probabilistic inference problems K1 Computing most probable explanation SP 845 OP 856 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599365 DO https://dl.acm.org/doi/10.1145/3580305.3599365 SF ELIB - SuUB Bremen
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