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Paper Abstract and Keywords
Presentation 2009-10-24 11:05
Learning of a Gibbs distribution from gene configurations in the genetic algorithm
Manabu Kitagata, Jun-ichi Inoue (Hokkaido Univ.) NC2009-45
Abstract (in Japanese) (See Japanese page) 
(in English) We introduce a learning algorithm of Gibbs distributions from training sets which are gene configurations generated by GA (Genetic Algorithm) in order to figure out the statistical properties of GA from the view point of thermodynamics. The learning algorithm is constructed by means of
minimization of the Kullback-Leibler distance between the parametric
Gibbs distribution and the empirical distribution of gene configurations.
The formulation is applied to the solvable probabilistic models having multi-valley energy landscapes, namely, the Spin Glass Chain and the Sherrington-Kirkpatrick model. By using computer simulations, we discuss the asymptotic behaviour of the effective temperature scheduling and the residual energy induced by the GA dynamics.
Keyword (in Japanese) (See Japanese page) 
(in English) Statistical mechanics of information / Learning algorithm / Genetic algorithm / Gibbs distribution / Solvable spin glass model / Kullback-Leibler distance / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 252, NC2009-45, pp. 47-52, Oct. 2009.
Paper # NC2009-45 
Date of Issue 2009-10-16 (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 NC2009-45

Conference Information
Committee NC  
Conference Date 2009-10-23 - 2009-10-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Saga University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2009-10-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning of a Gibbs distribution from gene configurations in the genetic algorithm 
Sub Title (in English)  
Keyword(1) Statistical mechanics of information  
Keyword(2) Learning algorithm  
Keyword(3) Genetic algorithm  
Keyword(4) Gibbs distribution  
Keyword(5) Solvable spin glass model  
Keyword(6) Kullback-Leibler distance  
Keyword(7)  
Keyword(8)  
1st Author's Name Manabu Kitagata  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Jun-ichi Inoue  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2009-10-24 11:05:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2009-45 
Volume (vol) vol.109 
Number (no) no.252 
Page pp.47-52 
#Pages 6 
Date of Issue 2009-10-16 (NC) 

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