文献
J-GLOBAL ID:202202282455692732
整理番号:22A1105650
共分散特徴は多変量時系列分類における低資源貯留層計算性能を改善する【JST・京大機械翻訳】
Covariance Features Improve Low-Resource Reservoir Computing Performance in Multivariate Time Series Classification
著者 (5件):
Lawrie Sofia
(Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain)
,
Moreno-Bote Ruben
(Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain)
,
Moreno-Bote Ruben
(Serra Hunter Fellow Programme, Universitat Pompeu Fabra, Barcelona, Spain)
,
Gilson Matthieu
(Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain)
,
Gilson Matthieu
(Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), JARA Institute Brain Structure-Function Relationships (INM-10), Juelich Research Centre, Juelich, Germany)
資料名:
Advances in Intelligent Systems and Computing
(Advances in Intelligent Systems and Computing)
巻:
1420
ページ:
587-601
発行年:
2022年
JST資料番号:
W5075A
ISSN:
2194-5357
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)