Paper Abstract and Keywords |
Presentation |
2010-01-21 14:40
Superfast Probabilistic Classifier Masashi Sugiyama (Tokyo Inst. of Tech.) CQ2009-74 PRMU2009-173 SP2009-114 MVE2009-96 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Kernel logistic regression (KLR) is a powerful and flexible classification algorithm,
which possesses an ability to provide the confidence of class prediction.
However, its training---typically carried out by Newton's method or quasi-Newton methods---is
rather time-consuming.
In this paper, we propose an alternative probabilistic classification
algorithm called Least-Squares Probabilistic Classifier (LSPC).
The solution of LSPC can be computed analytically just by solving
a system of linear equations, so LSPC is computationally efficient and stable.
Through experiments, we show that the computation time of LSPC
is faster than that of KLR by the factor 100 with comparable accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
probabilistic classification / kernel logistic regression / class-posterior probability / squared-loss / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 374, PRMU2009-173, pp. 127-132, Jan. 2010. |
Paper # |
PRMU2009-173 |
Date of Issue |
2010-01-14 (CQ, PRMU, SP, MVE) |
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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CQ2009-74 PRMU2009-173 SP2009-114 MVE2009-96 |
Conference Information |
Committee |
PRMU SP MVE CQ |
Conference Date |
2010-01-21 - 2010-01-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyoto Univ. |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2010-01-PRMU-SP-MVE-CQ |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Superfast Probabilistic Classifier |
Sub Title (in English) |
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Keyword(1) |
probabilistic classification |
Keyword(2) |
kernel logistic regression |
Keyword(3) |
class-posterior probability |
Keyword(4) |
squared-loss |
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1st Author's Name |
Masashi Sugiyama |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2010-01-21 14:40:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
CQ2009-74, PRMU2009-173, SP2009-114, MVE2009-96 |
Volume (vol) |
vol.109 |
Number (no) |
no.373(CQ), no.374(PRMU), no.375(SP), no.376(MVE) |
Page |
pp.127-132 |
#Pages |
6 |
Date of Issue |
2010-01-14 (CQ, PRMU, SP, MVE) |
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