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Paper Abstract and Keywords
Presentation 2017-07-13 15:20
Improving Performance of UCB1-tuned Algorithm by Lebesgue Spectrum Filter
Xinyu Cho, Kaori Kuroda, Yukio Murata (TUS), Song-Ju Kim (NIMS), Makoto Naruse (NICT), Mikio Hasegawa (TUS) NLP2017-36
Abstract (in Japanese) (See Japanese page) 
(in English) In the researches on asynchronous chaotic CDMA, it has been shown that the sequences, which have negative autocorrelation, minimize asynchronous cross-correlation among the sequences. Such sequences can also improve the solution search performance of combinatorial optimization algorithms. In this report, we introduce such low cross-correlation dynamics to improve the performance of UCB1-tuned which is the best non-parametric algorithm for Multi-armed bandit (MAB) problems. To generate negative autocorrelation dynamics in UCB1-tuned algorithm, we apply the Lebesgue Spectrum Filter (LSF), which has been proposed in a research on the chaotic CDMA. The simulation results show that the performance of UCB1-tuned algorithm can be improved by using the negative autocorrelation dynamics generated by the LSF. We clarify performance improvement by analyzing auto correlation and cross-correlation of the searching sequences.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-armed bandit problem / UCB1-tuned algorithm / Chaotic CDMA / Lebesgue Spectrum Filter / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 121, NLP2017-36, pp. 47-52, July 2017.
Paper # NLP2017-36 
Date of Issue 2017-07-06 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NLP  
Conference Date 2017-07-13 - 2017-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyako Island Marine Terminal 
Topics (in Japanese) (See Japanese page) 
Topics (in English) etc. 
Paper Information
Registration To NLP 
Conference Code 2017-07-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Performance of UCB1-tuned Algorithm by Lebesgue Spectrum Filter 
Sub Title (in English)  
Keyword(1) Multi-armed bandit problem  
Keyword(2) UCB1-tuned algorithm  
Keyword(3) Chaotic CDMA  
Keyword(4) Lebesgue Spectrum Filter  
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1st Author's Name Xinyu Cho  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Kaori Kuroda  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Yukio Murata  
3rd Author's Affiliation Tokyo University of Science (TUS)
4th Author's Name Song-Ju Kim  
4th Author's Affiliation National Institute for Materials Science (NIMS)
5th Author's Name Makoto Naruse  
5th Author's Affiliation National Institute of Information and Communications Technology (NICT)
6th Author's Name Mikio Hasegawa  
6th Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2017-07-13 15:20:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2017-36 
Volume (vol) vol.117 
Number (no) no.121 
Page pp.47-52 
#Pages 6 
Date of Issue 2017-07-06 (NLP) 

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