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| Presentation | 2010-09-05 11:10 Multi-task Learning with Least-Squares Probabilistic Classifiers Jaak Simm, Masashi Sugiyama (Tokyo Inst. of Tech.), Tsuyoshi Kato (Univ. of Tokyo)  PRMU2010-61 IBISML2010-33 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Probabilistic classification and multi-task learning are two important branches of machine learning research. Probabilistic classification is useful when the `confidence' of decision is necessary. On the other hand, the idea of multi-task learning is beneficial if multiple related learning tasks exist. So far, kernelized logistic regression has been a vital probabilistic classifier for the use in multi-task learning scenarios. However, its training tends to be computationally expensive, which prevented its use in large-scale problems. To overcome this limitation, we propose to employ a recently-proposed probabilistic classifier called the least-squares probabilistic classifier in multi-task learning scenarios. Through image classification experiments, we show that our method achieves comparable classification performance to the existing method, with much less training time. |
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| Keyword | (in Japanese) | (See Japanese page) |
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| Reference Info. | IEICE Tech. Rep., vol. 110, no. 188, IBISML2010-33, pp. 51-56, Sept. 2010. | |
| Paper # | IBISML2010-33 | |
| Date of Issue | 2010-08-29 (PRMU, 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 | PRMU2010-61 IBISML2010-33 |
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| Conference Information | |
| Committee | IBISML PRMU IPSJ-CVIM |
| Conference Date | 2010-09-05 - 2010-09-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukuoka Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine learning and optimization for computer vision and pattern recognition, etc. |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2010-09-IBISML-PRMU-CVIM |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi-task Learning with Least-Squares Probabilistic Classifiers |
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| 1st Author's Name | Jaak Simm |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
| 2nd Author's Name | Masashi Sugiyama |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
| 3rd Author's Name | Tsuyoshi Kato |
| 3rd Author's Affiliation | University of Tokyo (Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2010-09-05 11:10:00 |
| Presentation Time | 30 minutes |
| Registration for | IBISML |
| Paper # | PRMU2010-61, IBISML2010-33 |
| Volume (vol) | vol.110 |
| Number (no) | no.187(PRMU), no.188(IBISML) |
| Page | pp.51-56 |
| #Pages | 6 |
| Date of Issue | 2010-08-29 (PRMU, IBISML) |
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