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| Presentation | 2023-03-03 16:25 Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.)  PRMU2022-123 IBISML2022-130 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Machine learning methods often require re-training the training dataset with low-rank modifications (small number of instance/feature additions or removals), like leave-one-out cross-validation (LOOCV) and stepwise feature selection. For such modifications, we consider identifying the possible region of updated model parameters instead of calculating them exactly, for fast computation. We first present the method and the condition to identify the region for regularized empirical risk minimization problems, and then how to make LOOCV and stepwise feature selection faster. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Low-rank update of data / Leave-one-out cross-validation / Stepwise feature selection / Regularized empirical risk minimization / Strongly convex function / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 405, IBISML2022-130, pp. 347-354, March 2023. | |
| Paper # | IBISML2022-130 | |
| Date of Issue | 2023-02-23 (PRMU, IBISML) | |
| ISSN | 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 | PRMU2022-123 IBISML2022-130 |
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| Conference Information | |
| Committee | PRMU IBISML IPSJ-CVIM |
| Conference Date | 2023-03-02 - 2023-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2023-03-PRMU-IBISML-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data |
| Sub Title (in English) | |
| Keyword(1) | Low-rank update of data |
| Keyword(2) | Leave-one-out cross-validation |
| Keyword(3) | Stepwise feature selection |
| Keyword(4) | Regularized empirical risk minimization |
| Keyword(5) | Strongly convex function |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hiroyuki Hanada |
| 1st Author's Affiliation | RIKEN (RIKEN) |
| 2nd Author's Name | Noriaki Hashimoto |
| 2nd Author's Affiliation | RIKEN (RIKEN) |
| 3rd Author's Name | Kouichi Taji |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 4th Author's Name | Ichiro Takeuchi |
| 4th Author's Affiliation | Nagoya University (Nagoya Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-03 16:25:00 |
| Presentation Time | 15 minutes |
| Registration for | IBISML |
| Paper # | PRMU2022-123, IBISML2022-130 |
| Volume (vol) | vol.122 |
| Number (no) | no.404(PRMU), no.405(IBISML) |
| Page | pp.347-354 |
| #Pages | 8 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |
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