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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IBISML2017-57 |
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) |
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Keyword(1) |
Modal regression |
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Conditional mean shift |
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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 |
Author-1 |
Date Time |
2017-11-09 13:00:00 |
Presentation Time |
150 minutes |
Registration for |
IBISML |
Paper # |
IBISML2017-57 |
Volume (vol) |
vol.117 |
Number (no) |
no.293 |
Page |
pp.169-176 |
#Pages |
8 |
Date of Issue |
2017-11-02 (IBISML) |
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