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1 Ergebnisse
1
Energy-Efficient Models for High-Dimensional Spike Train Cl..:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Yin, Hang
;
Lee, John Boaz
;
Kong, Xiangnan
.. - p. 2017-2025 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467252
RT T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3467252&Exemplar=1&LAN=DE A1 Yin, Hang A1 Lee, John Boaz A1 Kong, Xiangnan A1 Hartvigsen, Thomas A1 Xie, Sihong PB ACM YR 2021 K1 hard-concrete distribution K1 sparsity K1 spatio-temporal coding K1 spiking neural networks K1 supervised learning K1 Information systems K1 Information systems applications K1 Data mining K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Computer systems organization K1 Architectures K1 Other architectures K1 Neural networks SP 2017 OP 2025 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467252 DO https://dl.acm.org/doi/10.1145/3447548.3467252 SF ELIB - SuUB Bremen
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