Hauptseite > Publikationsdatenbank > Covariance Features Improve Low-Resource Reservoir Computing Performance in Multivariate Time Series Classification > print

001     911191
005     20240313094916.0
020 _ _ |a 978-981-16-9572-8 (print)
020 _ _ |a 978-981-16-9573-5 (electronic)
024 7 _ |a 10.1007/978-981-16-9573-5_42
|2 doi
024 7 _ |a WOS:000787139600042
|2 WOS
037 _ _ |a FZJ-2022-04503
100 1 _ |a Smys, S.
|b 0
|e Editor
111 2 _ |a Computational Vision and Bio-Inspired Computing
|g ICCVBIC 2021
|c Coimbatore
|d 2021-11-25 - 2021-11-26
|w India
245 _ _ |a Covariance Features Improve Low-Resource Reservoir Computing Performance in Multivariate Time Series Classification
260 _ _ |a Singapore
|c 2022
|b Springer Singapore
295 1 0 |a Computational Vision and Bio-Inspired Computing / Smys, S. (Editor) ; Singapore : Springer Singapore, 2022, Chapter 42 ; ISSN: 2194-5357=2194-5365 ; ISBN: 978-981-16-9572-8=978-981-16-9573-5 ; doi:10.1007/978-981-16-9573-5
300 _ _ |a 587 - 601
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a INPROCEEDINGS
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490 0 _ |a Advances in Intelligent Systems and Computing
|v 1420
536 _ _ |a 5232 - Computational Principles (POF4-523)
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536 _ _ |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)
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536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
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588 _ _ |a Dataset connected to CrossRef Book Series, Journals: juser.fz-juelich.de
700 1 _ |a Tavares, João Manuel R. S.
|0 0000-0001-7603-6526
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700 1 _ |a Balas, Valentina Emilia
|0 0000-0003-0885-1283
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700 1 _ |a Lawrie, Sofía
|0 0000-0001-5408-7605
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700 1 _ |a Moreno-Bote, Rubén
|0 0000-0003-0398-014X
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700 1 _ |a Gilson, Matthieu
|0 P:(DE-Juel1)184621
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773 _ _ |a 10.1007/978-981-16-9573-5_42
909 C O |o oai:juser.fz-juelich.de:911191
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|v Neuromorphic Computing and Network Dynamics
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914 1 _ |y 2022
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