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1 Ergebnisse
1
Correlation-based regularization for fast and energy-effici..:
, In:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
,
Han, Chan Sik
;
Lee, Keon Myung
- p. 1048-1055 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477314.3507085
RT T1 <cTitle>Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>Correlation-based regularization for fast and energy-efficient spiking neural networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3507085&Exemplar=1&LAN=DE A1 Han, Chan Sik A1 Lee, Keon Myung PB ACM YR 2022 K1 SNN training K1 energy consumption K1 regularization K1 spiking neural networks K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Regularization SP 1048 OP 1055 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477314.3507085 DO https://dl.acm.org/doi/10.1145/3477314.3507085 SF ELIB - SuUB Bremen
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