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| Paper Abstract and Keywords | ||
| Presentation | 2019-06-17 15:50 A Comparison of Surrogate Models in Bayesian Optimization Sho Shimoyama (Meiji Univ.), Masahiro Nomura (CA)  IBISML2019-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Bayesian optimization can efficiently select the next search point by using a surrogate model that estimates an objective function from past data, so it is used in various fields including hyperparameter optimization of machine learning algorithms. Although Gaussian process and random forest are the representative surrogate models in Bayesian optimization, effects of properties of these surrogate models on the performance are not sufficiently discussed. In this study, we examine the effects of properties of these surrogate models on the performance by experiments on benchmark functions with different noise levels, number of dimensions and characteristics. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Bayesian optimization / Gaussian process / random forest / expected improvement / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 89, IBISML2019-7, pp. 43-50, June 2019. | |
| Paper # | IBISML2019-7 | |
| Date of Issue | 2019-06-10 (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 | IBISML2019-7 |
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| Conference Information | |
| Committee | NC IBISML IPSJ-MPS IPSJ-BIO |
| Conference Date | 2019-06-17 - 2019-06-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neurocomputing, Machine Learning Approach to Biodata Mining, and General |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2019-06-NC-IBISML-MPS-BIO |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Comparison of Surrogate Models in Bayesian Optimization |
| Sub Title (in English) | |
| Keyword(1) | Bayesian optimization |
| Keyword(2) | Gaussian process |
| Keyword(3) | random forest |
| Keyword(4) | expected improvement |
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| 1st Author's Name | Sho Shimoyama |
| 1st Author's Affiliation | Meiji University (Meiji Univ.) |
| 2nd Author's Name | Masahiro Nomura |
| 2nd Author's Affiliation | CyberAgent, Inc. (CA) |
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| Speaker | Author-1 |
| Date Time | 2019-06-17 15:50:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | IBISML2019-7 |
| Volume (vol) | vol.119 |
| Number (no) | no.89 |
| Page | pp.43-50 |
| #Pages | 8 |
| Date of Issue | 2019-06-10 (IBISML) |
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