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Paper Abstract and Keywords
Presentation 2022-06-27 17:25
Additive Cumulative Link Model with Total Variation Regularization for Ordinal Regression
Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) NC2022-8 IBISML2022-8
Abstract (in Japanese) (See Japanese page) 
(in English) In many fields such as medical research and social science, data on an ordinal scale are often obtained.
Problems in which the target variable is given on the ordinal scale are called ordinal regression. Ordinal regression has different characteristics from those of regression and classification problems.
In supervised learning of the ordinal regression problems, interpretability of the learned model is very important as well as its predictive performance.
In this paper, we extend the generalized additive model with total variation regularization to ordinal regression problems and propose a additive cumulative logit model with total varition regularization (TVACLM) that achieves good performance in both perspectives from interpretability and prediction.
Keyword (in Japanese) (See Japanese page) 
(in English) Ordinal regression / interpretability / additive model / total variation regularization / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 90, IBISML2022-8, pp. 69-75, June 2022.
Paper # IBISML2022-8 
Date of Issue 2022-06-20 (NC, IBISML) 
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 NC2022-8 IBISML2022-8

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2022-06-27 - 2022-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IBISML 
Conference Code 2022-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Additive Cumulative Link Model with Total Variation Regularization for Ordinal Regression 
Sub Title (in English)  
Keyword(1) Ordinal regression  
Keyword(2) interpretability  
Keyword(3) additive model  
Keyword(4) total variation regularization  
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1st Author's Name Hiroya Iyori  
1st Author's Affiliation the University of Tokyo (Univ. of Tokyo)
2nd Author's Name Shin Matsushima  
2nd Author's Affiliation the University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2022-06-27 17:25:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2022-8, IBISML2022-8 
Volume (vol) vol.122 
Number (no) no.89(NC), no.90(IBISML) 
Page pp.69-75 
#Pages 7 
Date of Issue 2022-06-20 (NC, IBISML) 

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