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Paper Abstract and Keywords
Presentation 2012-11-08 15:00
An Ordinal Regression Model Based on Logistic Regression Models and Its Fast Sparse Bayesian Learning
Kazuhisa Nagashima, Masato Inoue (Waseda Univ.) IBISML2012-87
Abstract (in Japanese) (See Japanese page) 
(in English) The common solution to the ordinal regression problem uses the model in which noise-contained inputs are deterministically labeled according to domains partitioned by several thresholds. Its likelihood is given by the product of the differences of probit functions and this likelihood prevents common analytical approaches such as differentiation of the log likelihood. In this manuscript, we introduce a model in which noise-free inputs are probabilistically labeled. More specifically, this model is constructed by using logistic regression models. We found that this model is easy to analyze. We also show that its 'fast' sparse Bayesian learning with automatic relevance determination (ARD) prior is possible.
Keyword (in Japanese) (See Japanese page) 
(in English) Ordinal Regression / Logistic Regression / Basis Function / Sparse Bayesian Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 279, IBISML2012-87, pp. 381-385, Nov. 2012.
Paper # IBISML2012-87 
Date of Issue 2012-10-31 (IBISML) 
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 IBISML  
Conference Date 2012-11-07 - 2012-11-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunkyo School Building, Tokyo Campus, Tsukuba Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) the 15th Information-Based Induction Sciences Workshop 
Paper Information
Registration To IBISML 
Conference Code 2012-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Ordinal Regression Model Based on Logistic Regression Models and Its Fast Sparse Bayesian Learning 
Sub Title (in English)  
Keyword(1) Ordinal Regression  
Keyword(2) Logistic Regression  
Keyword(3) Basis Function  
Keyword(4) Sparse Bayesian Learning  
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1st Author's Name Kazuhisa Nagashima  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Masato Inoue  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2012-11-08 15:00:00 
Presentation Time 150 minutes 
Registration for IBISML 
Paper # IBISML2012-87 
Volume (vol) vol.112 
Number (no) no.279 
Page pp.381-385 
#Pages
Date of Issue 2012-10-31 (IBISML) 


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