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| Presentation | 2019-12-06 16:30 Explaining Neural Networks by using a multiple tree Shunya Sasaki, Masafumi Hagiwara (Keio Univ)  MBE2019-58 NC2019-49 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The existing Neural Networks (NNs) have a problem that it is difficult to explain the reasoning process and the grounds for the output. We propose multi-tree NNs. The proposed network clarifies how input elements influence each other and lead to output. The explanation is made by referring to the intermediate output distribution of the learning data. In the case of correct output, the similarity between each intermediate node output and the distribution during learning. In the case of error output, the tree structure is searched from the output layer to the input layer. In this way, a highly explanatory NNs are realized. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | explainable AI / white box / tree / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 328, NC2019-49, pp. 79-84, Dec. 2019. | |
| Paper # | NC2019-49 | |
| Date of Issue | 2019-11-29 (MBE, NC) | |
| 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 | MBE2019-58 NC2019-49 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2019-12-06 - 2019-12-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Toyohashi Tech |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2019-12-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Explaining Neural Networks by using a multiple tree |
| Sub Title (in English) | |
| Keyword(1) | explainable AI |
| Keyword(2) | white box |
| Keyword(3) | tree |
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| 1st Author's Name | Shunya Sasaki |
| 1st Author's Affiliation | Keio University (Keio Univ) |
| 2nd Author's Name | Masafumi Hagiwara |
| 2nd Author's Affiliation | Keio University (Keio Univ) |
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| Speaker | Author-1 |
| Date Time | 2019-12-06 16:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | MBE2019-58, NC2019-49 |
| Volume (vol) | vol.119 |
| Number (no) | no.327(MBE), no.328(NC) |
| Page | pp.79-84 |
| #Pages | 6 |
| Date of Issue | 2019-11-29 (MBE, NC) |
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