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Paper Abstract and Keywords
Presentation 2020-10-22 09:30
Shared dataset framework toward applications of machine learning and mathematical optimization for 6G
Kazuki Maruta (Tokyo Tech.), Yuta Ida (Yamaguchi Univ.), Yafei Hou (Okayama Univ.), Osamu Muta (Kyushu Univ.), Hiraku Okada (Nagoya Univ.), Toshihiko Nishimura (Hokkaido Univ.), Eiji Okamoto (Nagoya Inst. of Tech.), Yukitoshi Sanada (Keio Univ.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) RCS2020-92
Abstract (in Japanese) (See Japanese page) 
(in English) In the research of applying machine learning and mathematical optimization to problems in wireless communication systems, datasets for training are very important, and an effort to store and release datasets for long term storage has recently started in overseas conferences. On the other hand, if a dataset suitable for research purposes is not available, efforts to create a dataset with wide cooperation are required. This paper presents a conceptual framework for collaborative efforts to create datasets and research using those datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) Data set / Machine learning / Mathematical optimization / 6G / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 204, RCS2020-92, pp. 1-6, Oct. 2020.
Paper # RCS2020-92 
Date of Issue 2020-10-15 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 RCS  
Conference Date 2020-10-22 - 2020-10-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, Future Wireless Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2020-10-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Shared dataset framework toward applications of machine learning and mathematical optimization for 6G 
Sub Title (in English)  
Keyword(1) Data set  
Keyword(2) Machine learning  
Keyword(3) Mathematical optimization  
Keyword(4) 6G  
1st Author's Name Kazuki Maruta  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
2nd Author's Name Yuta Ida  
2nd Author's Affiliation Ymaguchi University (Yamaguchi Univ.)
3rd Author's Name Yafei Hou  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Osamu Muta  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Hiraku Okada  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Toshihiko Nishimura  
6th Author's Affiliation Hokkaido University (Hokkaido Univ.)
7th Author's Name Eiji Okamoto  
7th Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
8th Author's Name Yukitoshi Sanada  
8th Author's Affiliation Keio University (Keio Univ.)
9th Author's Name Hidekazu Murata  
9th Author's Affiliation Kyoto University (Kyoto Univ.)
10th Author's Name Satoshi Denno  
10th Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2020-10-22 09:30:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2020-92 
Volume (vol) vol.120 
Number (no) no.204 
Page pp.1-6 
Date of Issue 2020-10-15 (RCS) 

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