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Paper Abstract and Keywords
Presentation 2019-03-14 15:35
Effect of Dropout Layers of Neural Networks Applied for Iterative Error-Detection Clustering Method
Taishi Watanabe, Masayuki Yamauchi (Hiroshima Institute of Tech.), Mamoru Tanaka (Sophia Univ.) NLP2018-130
Abstract (in Japanese) (See Japanese page) 
(in English) IoT has been continued to develop greatly. It is important that cluttered big data need to be used effectively on internet.
Clustering is one of important techniques for seperating and analyzing of big data.
There is a ``Iterative Error-detection type clustering method system'' with Neural Networks that we have developed.
We investigate the effect of the Dropout layer which is thought to device considered useful for optimization of the system.
Keyword (in Japanese) (See Japanese page) 
(in English) Clustering / Iterative Error-Detection / Neural Networks / Classification / Data Mining / Dropout / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 498, NLP2018-130, pp. 31-36, March 2019.
Paper # NLP2018-130 
Date of Issue 2019-03-07 (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)
Download PDF NLP2018-130

Conference Information
Committee NLP MSS  
Conference Date 2019-03-14 - 2019-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunkyo Camp., Univ. of Fukui 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SICE-DES, IEICE-MSS, IEICE-NLP, Work In Progress, and etc. 
Paper Information
Registration To NLP 
Conference Code 2019-03-NLP-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Effect of Dropout Layers of Neural Networks Applied for Iterative Error-Detection Clustering Method 
Sub Title (in English)  
Keyword(1) Clustering  
Keyword(2) Iterative Error-Detection  
Keyword(3) Neural Networks  
Keyword(4) Classification  
Keyword(5) Data Mining  
Keyword(6) Dropout  
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Keyword(8)  
1st Author's Name Taishi Watanabe  
1st Author's Affiliation Hiroshima Institute of Technology (Hiroshima Institute of Tech.)
2nd Author's Name Masayuki Yamauchi  
2nd Author's Affiliation Hiroshima Institute of Technology (Hiroshima Institute of Tech.)
3rd Author's Name Mamoru Tanaka  
3rd Author's Affiliation Sophia University (Sophia Univ.)
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Speaker
Date Time 2019-03-14 15:35:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2018-130 
Volume (vol) IEICE-118 
Number (no) no.498 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2019-03-07 


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