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1 Ergebnisse
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Implementing Graph-Theoretic Feature Selection by Quantum A..:
Li, Yaochong
;
Zhou, Ri-Gui
;
Xu, Ruiqing
...
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 2 - p. 2364-2377 , 2024
Link:
https://doi.org/10.1109/tnnls.2022.3190042
RT Journal T1 <Title>Implementing Graph-Theoretic Feature Selection by Quantum Approximate Optimization Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tnnls.2022.3190042&Exemplar=1&LAN=DE A1 Li, Yaochong A1 Zhou, Ri-Gui A1 Xu, Ruiqing A1 Luo, Jia A1 Hu, Wenwen A1 Fan, Ping PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 2162-237X SN 2162-2388 JF IEEE Transactions on Neural Networks and Learning Systems VO 35 IS 2 SP 2364 OP 2377 LK http://dx.doi.org/https://doi.org/10.1109/tnnls.2022.3190042 DO https://doi.org/10.1109/tnnls.2022.3190042 SF ELIB - SuUB Bremen
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