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| Presentation | 2014-06-25 16:10 A Discriminative Model resistant to Malicious Annotators Atsutoshi Kumagai, Shingo Orihara, Yasushi Okano, Tomoharu Iwata, Yoshihito Oshima (NTT)  NC2014-1 IBISML2014-1 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, there have been a lot of studies on learning a classifier from a large amount of labeled data collected from crowds. However, the existing methods have a problem that the accuracy of the classifier drastically deteriorates if there are malicious annotators intentionally giving wrong labels．In this paper, to solve this problem, we propose a method of learning a classifier resistant to malicious annotators by introducing degrees of similarity between discriminative models of annotators. Through experiments, we show the effectiveness of our proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Machine Learning / multiple annotators / Empirical Bayes method / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 105, IBISML2014-1, pp. 17-23, June 2014. | |
| Paper # | IBISML2014-1 | |
| Date of Issue | 2014-06-18 (NC, 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 | NC2014-1 IBISML2014-1 |
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| Conference Information | |
| Committee | NC IPSJ-BIO IBISML IPSJ-MPS |
| Conference Date | 2014-06-25 - 2014-06-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2014-06-NC-BIO-IBISML-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Discriminative Model resistant to Malicious Annotators |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | multiple annotators |
| Keyword(3) | Empirical Bayes method |
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| 1st Author's Name | Atsutoshi Kumagai |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Shingo Orihara |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Yasushi Okano |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name | Tomoharu Iwata |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 5th Author's Name | Yoshihito Oshima |
| 5th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2014-06-25 16:10:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | NC2014-1, IBISML2014-1 |
| Volume (vol) | vol.114 |
| Number (no) | no.104(NC), no.105(IBISML) |
| Page | pp.17-23 |
| #Pages | 7 |
| Date of Issue | 2014-06-18 (NC, IBISML) |
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