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Paper Abstract and Keywords
Presentation 2017-11-09 13:00
Efficient modal regression using gradient ascent and descent method
Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2017-57
Abstract (in Japanese) (See Japanese page) 
(in English) Nonparametric modal regression is a method for regression analysis, which can estimate local maxima of the conditional probability density function.
In this paper, on the basis of the conditional mean shift, which is a method commonly used for modal regression,we propose a method of estimating local minima of the conditional probability density function.
Furthermore, under the practically important situation where the dependent variable is one-dimensional, we propose an efficient modal regression algorithm by combining the method of estimating local minima with the conditional mean shift.
We experimentally show effectiveness of the proposed method using artificial data as well as real data.
Keyword (in Japanese) (See Japanese page) 
(in English) Modal regression / Conditional mean shift / Kernel density estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 293, IBISML2017-57, pp. 169-176, Nov. 2017.
Paper # IBISML2017-57 
Date of Issue 2017-11-02 (IBISML) 
ISSN Print edition: ISSN 0913-5685  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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IBISML  
Conference Date 2017-11-08 - 2017-11-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2017) 
Paper Information
Registration To IBISML 
Conference Code 2017-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient modal regression using gradient ascent and descent method 
Sub Title (in English)  
Keyword(1) Modal regression  
Keyword(2) Conditional mean shift  
Keyword(3) Kernel density estimation  
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1st Author's Name Ryoya Yamasaki  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Toshiyuki Tanaka  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker
Date Time 2017-11-09 13:00:00 
Presentation Time 150 
Registration for IBISML 
Paper # IEICE-IBISML2017-57 
Volume (vol) IEICE-117 
Number (no) no.293 
Page pp.169-176 
#Pages IEICE-8 
Date of Issue IEICE-IBISML-2017-11-02 


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