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| Presentation | 2016-09-06 11:15 Hyper-parameter Optimization with Derivative-free Method Yoshihiko Ozaki, Masaki Yano (Univ. Tsukuba/AIST), Masaki Onishi (AIST), Takahito Kuno (Univ. Tsukuba)  PRMU2016-84 IBISML2016-39 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In machine learning methods, an appropriate hyper-parameter tuning is really important for classifiers to perform its best. However, in general, the relationship between the performance of classifiers and their hyper-parameters is an unknown function. So the features with the objective function such as gradient are not available to optimize hyper-parameters. In this paper, we apply derivative-free optimization methods without the gradient information of the objective function in the hyper-parameter tuning of classifiers and evaluated their performance by computational experiments. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Derivative-Free Optimization / Machine Learning / Hyper-parameter Optimization / Coordinate-Search Method / Nelder-Mead Method / Support Vector Machine / Convolutional Neural Network / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 208, PRMU2016-84, pp. 227-232, Sept. 2016. | |
| Paper # | PRMU2016-84 | |
| Date of Issue | 2016-08-29 (PRMU, 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 | PRMU2016-84 IBISML2016-39 |
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| Conference Information | |
| Committee | PRMU IPSJ-CVIM IBISML |
| Conference Date | 2016-09-05 - 2016-09-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2016-09-PRMU-CVIM-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Hyper-parameter Optimization with Derivative-free Method |
| Sub Title (in English) | |
| Keyword(1) | Derivative-Free Optimization |
| Keyword(2) | Machine Learning |
| Keyword(3) | Hyper-parameter Optimization |
| Keyword(4) | Coordinate-Search Method |
| Keyword(5) | Nelder-Mead Method |
| Keyword(6) | Support Vector Machine |
| Keyword(7) | Convolutional Neural Network |
| Keyword(8) | |
| 1st Author's Name | Yoshihiko Ozaki |
| 1st Author's Affiliation | University of Tsukuba/National Institute of Advanced Industrial Science and Technology (Univ. Tsukuba/AIST) |
| 2nd Author's Name | Masaki Yano |
| 2nd Author's Affiliation | University of Tsukuba/National Institute of Advanced Industrial Science and Technology (Univ. Tsukuba/AIST) |
| 3rd Author's Name | Masaki Onishi |
| 3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
| 4th Author's Name | Takahito Kuno |
| 4th Author's Affiliation | University of Tsukuba (Univ. Tsukuba) |
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| Speaker | Author-1 |
| Date Time | 2016-09-06 11:15:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2016-84, IBISML2016-39 |
| Volume (vol) | vol.116 |
| Number (no) | no.208(PRMU), no.209(IBISML) |
| Page | pp.227-232 |
| #Pages | 6 |
| Date of Issue | 2016-08-29 (PRMU, IBISML) |
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