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Paper Abstract and Keywords
Presentation 2019-11-14 16:35
Domain Knowledge-aware Machine Learning System with Rule-based Guiding
Tomoaki Shikina, Daichi Teruya, Hironori Nakajo (TAT) CPSY2019-44
Abstract (in Japanese) (See Japanese page) 
(in English) Data-driven methods in machine learning rely only on the statistical nature of the data. Therefore, its predictions could be incorrect from the viewpoint of human knowledge. Incorrect predictions should be a big issue if we apply machine learning to mission-critical domains such as the medical field. In this study, we propose a machine learning system that uses domain knowledge based on the rule-based guide for learning. Our system generates a logical rule from the prediction tendency of the target model, and weights training data as the generated logical rule matches to a given knowledge by a human. The weighted data allows the model to avoid incorrect predictions and to improves the accuracy by re-learn.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Rule-Based System / Inductive Logic Programming / Interpretability / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 286, CPSY2019-44, pp. 23-28, Nov. 2019.
Paper # CPSY2019-44 
Date of Issue 2019-11-06 (CPSY) 
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 CPSY2019-44

Conference Information
Committee VLD DC CPSY RECONF ICD IE IPSJ-SLDM IPSJ-EMB 
Conference Date 2019-11-13 - 2019-11-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Ehime Prefecture Gender Equality Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Design Gaia 2019 -New Field of VLSI Design- 
Paper Information
Registration To CPSY 
Conference Code 2019-11-VLD-DC-CPSY-RECONF-ICD-IE-SLDM-EMB-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Domain Knowledge-aware Machine Learning System with Rule-based Guiding 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Rule-Based System  
Keyword(3) Inductive Logic Programming  
Keyword(4) Interpretability  
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Keyword(6)  
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1st Author's Name Tomoaki Shikina  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TAT)
2nd Author's Name Daichi Teruya  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TAT)
3rd Author's Name Hironori Nakajo  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TAT)
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Speaker Author-1 
Date Time 2019-11-14 16:35:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # CPSY2019-44 
Volume (vol) vol.119 
Number (no) no.286 
Page pp.23-28 
#Pages 6 
Date of Issue 2019-11-06 (CPSY) 

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