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| Presentation | 2009-03-13 15:20 A Proposal of Ensemble-based Minimum Classification Error Training Hideyuki Watanabe (NICT/ATR), Shigeru Katagiri, Kohta Yamada (Doshisha Univ.), Atsushi Nakamura, Erik McDermott, Shinji Watanabe (NTT), Shin'ichi Taniguchi, Naho Nishijima, Miho Ohsaki (Doshisha Univ.)  PRMU2008-250 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose an ensemble-based minimum classification error (MCE) training method to combine multiple weak classifiers in a manner consistent with the ultimate standard, Bayes error estimation. First, we discuss boosting, a key methodology of ensemble training, from the viewpoints of mathematical optimality for loss minimization and its relationship to the Bayes error estimation. We also review the basic concept of MCE training, and elucidate the relationship between boosting and MCE by analyzing their loss minimization procedures. We then propose an ensemble-based training method named Ensemble-based MCE, which in principle leads to the Bayes error condition for a general multi-class task. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | ensemble / minimum classification error / MCE / boosting / Bayes error / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 484, PRMU2008-250, pp. 71-76, March 2009. | |
| Paper # | PRMU2008-250 | |
| Date of Issue | 2009-03-06 (PRMU) | |
| 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 | PRMU2008-250 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2009-03-13 - 2009-03-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2009-03-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Proposal of Ensemble-based Minimum Classification Error Training |
| Sub Title (in English) | |
| Keyword(1) | ensemble |
| Keyword(2) | minimum classification error |
| Keyword(3) | MCE |
| Keyword(4) | boosting |
| Keyword(5) | Bayes error |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hideyuki Watanabe |
| 1st Author's Affiliation | National Institute of Information and Communications Technology/ATR (NICT/ATR) |
| 2nd Author's Name | Shigeru Katagiri |
| 2nd Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 3rd Author's Name | Kohta Yamada |
| 3rd Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 4th Author's Name | Atsushi Nakamura |
| 4th Author's Affiliation | NTT Communication Science Laboratories (NTT) |
| 5th Author's Name | Erik McDermott |
| 5th Author's Affiliation | NTT Communication Science Laboratories (NTT) |
| 6th Author's Name | Shinji Watanabe |
| 6th Author's Affiliation | NTT Communication Science Laboratories (NTT) |
| 7th Author's Name | Shin'ichi Taniguchi |
| 7th Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 8th Author's Name | Naho Nishijima |
| 8th Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 9th Author's Name | Miho Ohsaki |
| 9th Author's Affiliation | Doshisha University (Doshisha Univ.) |
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| Speaker | Author-1 |
| Date Time | 2009-03-13 15:20:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2008-250 |
| Volume (vol) | vol.108 |
| Number (no) | no.484 |
| Page | pp.71-76 |
| #Pages | 6 |
| Date of Issue | 2009-03-06 (PRMU) |
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