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Paper Abstract and Keywords
Presentation 2023-03-26 11:35
A Study on Hardware Architectures of Ensemble Kalman Filters towards High-Speed and Memory-Efficient Online Learning for Reservoir Computing
Kota Tamada, Yuki Abe, Kose Yoshida, Tetsuya Asai (Hokkaido Univ) CCS2022-70
Abstract (in Japanese) (See Japanese page) 
(in English) The objective of this study was to develop a hardware architecture for an ensemble Kalman filter in reservoir computing. We verified how the use of the ensemble Kalman filter in reservoir learning can be improved compared to conventional online learning, such as reduction of memory usage. We also proposed a hardware architecture for the ensemble Kalman filter and evaluated it.
Keyword (in Japanese) (See Japanese page) 
(in English) reservoir computing / online learning / ensemble Kalman filter / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 453, CCS2022-70, pp. 42-47, March 2023.
Paper # CCS2022-70 
Date of Issue 2023-03-19 (CCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CCS2022-70

Conference Information
Committee CCS  
Conference Date 2023-03-26 - 2023-03-27 
Place (in Japanese) (See Japanese page) 
Place (in English) RUSUTSU RESORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CCS 
Conference Code 2023-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Hardware Architectures of Ensemble Kalman Filters towards High-Speed and Memory-Efficient Online Learning for Reservoir Computing 
Sub Title (in English)  
Keyword(1) reservoir computing  
Keyword(2) online learning  
Keyword(3) ensemble Kalman filter  
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1st Author's Name Kota Tamada  
1st Author's Affiliation Hokkaido University (Hokkaido Univ)
2nd Author's Name Yuki Abe  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ)
3rd Author's Name Kose Yoshida  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ)
4th Author's Name Tetsuya Asai  
4th Author's Affiliation Hokkaido University (Hokkaido Univ)
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Speaker Author-1 
Date Time 2023-03-26 11:35:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2022-70 
Volume (vol) vol.122 
Number (no) no.453 
Page pp.42-47 
#Pages 6 
Date of Issue 2023-03-19 (CCS) 

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