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| Presentation | 2015-03-05 13:00 [Invited Talk] Detection of cheating in Boltzmann machine learning -- A parameter-free algorithm to sparse solution -- Masayuki Ohzeki (KU)  IBISML2014-85 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We generalize a mathematical model in the item response theory into that in the Boltzmann machine learning to detect “cheating students”. The cheating students are hopefully expected to be rare under normal condition holding tests. (We strongly hope!) In other words, the cheating students are expected to be sparse. In the present study, we employ a greedy algorithm, the decimation algorithm, which is free from the arbitrary coefficient. We confirmed that, when the sparseness is strong, the decimation algorithm outperforms the L1 regularization and establish a basic technique to detect the cheating students. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Boltzmann machine learning / Item response theory / sparseness / greedy algorithm / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 502, IBISML2014-85, pp. 1-8, March 2015. | |
| Paper # | IBISML2014-85 | |
| Date of Issue | 2015-02-26 (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 | IBISML2014-85 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2015-03-05 - 2015-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Statistical mathematics, machine learning, data mining, and others |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2015-03-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of cheating in Boltzmann machine learning |
| Sub Title (in English) | A parameter-free algorithm to sparse solution |
| Keyword(1) | Boltzmann machine learning |
| Keyword(2) | Item response theory |
| Keyword(3) | sparseness |
| Keyword(4) | greedy algorithm |
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| 1st Author's Name | Masayuki Ohzeki |
| 1st Author's Affiliation | Kyoto University (KU) |
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| Speaker | Author-1 |
| Date Time | 2015-03-05 13:00:00 |
| Presentation Time | 60 minutes |
| Registration for | IBISML |
| Paper # | IBISML2014-85 |
| Volume (vol) | vol.114 |
| Number (no) | no.502 |
| Page | pp.1-8 |
| #Pages | 8 |
| Date of Issue | 2015-02-26 (IBISML) |
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