Paper Abstract and Keywords |
Presentation |
2009-03-12 14:15
Learning algorithm in Boltzmann machines using the belief propagation algorithm Junya Tannai, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2008-144 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Boltzmann machines are stochastic neural networks defined on undirected graphs and are expected to be learning machines with rich structures. It is known that the contrastive divergence learning is one of high-speed and effective learning algorithms for fully-visible Boltzmann machines and restricted Boltzmann machines. However, there are few effective learning algorithms for general Boltzmann machines which have some connections among hidden units. In the present paper, we propose a new learning algorithm for Boltzmann machines with general structures using the contrastive divergence and the loopy belief propagation. In some numerical experiments for artificial data, we show its validity by comparing our proposed algorithm with the mean-field learning one by Welling and Hinton. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Boltzmann machine / Markov random field / belief propagation / contrastive divergence / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 480, NC2008-144, pp. 243-248, March 2009. |
Paper # |
NC2008-144 |
Date of Issue |
2009-03-04 (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) |
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NC2008-144 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2009-03-11 - 2009-03-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tamagawa Univ. |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2009-03-NC-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Learning algorithm in Boltzmann machines using the belief propagation algorithm |
Sub Title (in English) |
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Boltzmann machine |
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Markov random field |
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belief propagation |
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contrastive divergence |
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1st Author's Name |
Junya Tannai |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Muneki Yasuda |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Kazuyuki Tanaka |
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Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2009-03-12 14:15:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2008-144 |
Volume (vol) |
vol.108 |
Number (no) |
no.480 |
Page |
pp.243-248 |
#Pages |
6 |
Date of Issue |
2009-03-04 (NC) |
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