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| Presentation | 2010-03-11 11:05 Learning of Go board state evaluation by online adaptive natural gradient method Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.)  NC2009-164 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a supervised learning of Go board state evaluation function with many game records of experts'. By training a hierarchical neural network of which input is a board state of game records and output is binary (Black's win or White's win), the network is expected to output the expected winning probability (evaluation) of input board state. Because it is difficult to learn large dimensional data such as Go board without overtraining, we restrict the dimension of parameters by taking into account of Go specific properties. Furthermore, we use online adaptive natural gradient method of which fisher information matrix is approximated by a block diagonal matrix to learn the huge number of data faster. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Go / neural network / adaptive natural gradient method / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 461, NC2009-164, pp. 449-454, March 2010. | |
| Paper # | NC2009-164 | |
| Date of Issue | 2010-03-02 (NC) | |
| 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 | NC2009-164 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2010-03-09 - 2010-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2010-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning of Go board state evaluation by online adaptive natural gradient method |
| Sub Title (in English) | |
| Keyword(1) | Go |
| Keyword(2) | neural network |
| Keyword(3) | adaptive natural gradient method |
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| 1st Author's Name | Hiroki Tomizawa |
| 1st Author's Affiliation | Kyoto university (Kyoto Univ.) |
| 2nd Author's Name | Shin-ichi Maeda |
| 2nd Author's Affiliation | Kyoto university (Kyoto Univ.) |
| 3rd Author's Name | Shin Ishii |
| 3rd Author's Affiliation | Kyoto university (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2010-03-11 11:05:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2009-164 |
| Volume (vol) | vol.109 |
| Number (no) | no.461 |
| Page | pp.449-454 |
| #Pages | 6 |
| Date of Issue | 2010-03-02 (NC) |
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