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 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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IBISML2012-87 |
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) |
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Ordinal Regression |
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Logistic Regression |
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Basis Function |
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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 |
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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 |
5 |
Date of Issue |
2012-10-31 (IBISML) |
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