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Covariance Features Improve Low-Resource Reservoir Computing Performance in Multivariate Time Series Classification
Smys, S. (Editor) Tavares, J. M. R. S. (Editor) Balas, V. E. (Editor) Lawrie, S. (Corresponding author) Moreno-Bote, R. Gilson, M. (Corresponding author) Springer Singapore
Singapore
2022 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 Computational Vision and Bio-Inspired Computing , ICCVBIC 2021 , Coimbatore Coimbatore , India 2021-11-25 2021-11-26 Singapore : Springer Singapore, Advances in Intelligent Systems and Computing 1420 587 - 601 (2022 ) [10.1007/978-981-16-9573-5_42 ] 2022
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Please use a persistent id in citations: doi:10.1007/978-981-16-9573-5_42
Contributing Institute(s):
Computational and Systems Neuroscience (INM-6) Theoretical Neuroscience (IAS-6) Jara-Institut Brain structure-function relationships (INM-10)
Research Program(s):
5232 - Computational Principles (POF4-523) (POF4-523) SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005) HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907) HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539) Appears in the scientific report
2022
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