| Paper Abstract and Keywords |
| Presentation |
2015-11-27 14:00
[Poster Presentation]
An Efficient Accelerated Proximal Gradient Method for Unified Binary Classification Model Naoki Ito, Akiko Takeda (UTokyo), Kim-Chuan Toh (NUS) IBISML2015-93 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we develop an efficient general optimization algorithm for a unified formulation of various binary classification models. Our method is based on an accelerated proximal gradient method and employs various practical techniques to speed-up convergence. Numerical experiment shows that our method has advantages to existing algorithms designed for a specific model, especially on large datasets. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Accelerated Proximal Gradient Method / Binary Classification / Minimum Norm Problem / Vector Projection Computation / Support Vector Machine / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 323, IBISML2015-93, pp. 299-303, Nov. 2015. |
| Paper # |
IBISML2015-93 |
| Date of Issue |
2015-11-19 (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) |
| Download PDF |
IBISML2015-93 |
| Conference Information |
| Committee |
IBISML |
| Conference Date |
2015-11-25 - 2015-11-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Epochal Tsukuba |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Information-Based Induction Science Workshop (IBIS2015) |
| Paper Information |
| Registration To |
IBISML |
| Conference Code |
2015-11-IBISML |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
An Efficient Accelerated Proximal Gradient Method for Unified Binary Classification Model |
| Sub Title (in English) |
|
| Keyword(1) |
Accelerated Proximal Gradient Method |
| Keyword(2) |
Binary Classification |
| Keyword(3) |
Minimum Norm Problem |
| Keyword(4) |
Vector Projection Computation |
| Keyword(5) |
Support Vector Machine |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Naoki Ito |
| 1st Author's Affiliation |
University of Tokyo (UTokyo) |
| 2nd Author's Name |
Akiko Takeda |
| 2nd Author's Affiliation |
University of Tokyo (UTokyo) |
| 3rd Author's Name |
Kim-Chuan Toh |
| 3rd Author's Affiliation |
National University of Singapore (NUS) |
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| Speaker |
Author-1 |
| Date Time |
2015-11-27 14:00:00 |
| Presentation Time |
180 minutes |
| Registration for |
IBISML |
| Paper # |
IBISML2015-93 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.323 |
| Page |
pp.299-303 |
| #Pages |
5 |
| Date of Issue |
2015-11-19 (IBISML) |