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Paper Abstract and Keywords
Presentation 2011-09-05 10:30
On Evaluation of Stochastic Complexity based on Bayes Code and Its Applications to Model Selection
Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ./ISIT) PRMU2011-59 IBISML2011-18
Abstract (in Japanese) (See Japanese page) 
(in English) We evaluate stochastic complexity of Gaussian mixture by Bayes code length, and apply it to the model selection problem.The Gaussian mixture is a popular model in machine learning and statistics. Since it is generally difficult to calculate Bayes code length of Gaussian mixture, we propose an accurate approximation method to calculate it in practical time, which uses Laplace approximation and Monte Carlo method. We compare the performance of our method with other methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Gaussian Mixture / Stochastic Complexity / Bayes Code / Model Selection / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 194, IBISML2011-18, pp. 9-14, Sept. 2011.
Paper # IBISML2011-18 
Date of Issue 2011-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 PRMU2011-59 IBISML2011-18

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2011-09-05 - 2011-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2011-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Evaluation of Stochastic Complexity based on Bayes Code and Its Applications to Model Selection 
Sub Title (in English)  
Keyword(1) Gaussian Mixture  
Keyword(2) Stochastic Complexity  
Keyword(3) Bayes Code  
Keyword(4) Model Selection  
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1st Author's Name Yoshinari Takeishi  
1st Author's Affiliation Kyushu University/Institute of Systems,Information Technologies and Nanotechnologies (Kyushu Univ./ISIT)
2nd Author's Name Masanori Kawakita  
2nd Author's Affiliation Kyushu University/Institute of Systems,Information Technologies and Nanotechnologies (Kyushu Univ./ISIT)
3rd Author's Name Jun'ichi Takeuchi  
3rd Author's Affiliation Kyushu University/Institute of Systems,Information Technologies and Nanotechnologies (Kyushu Univ./ISIT)
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Speaker
Date Time 2011-09-05 10:30:00 
Presentation Time 30 
Registration for IBISML 
Paper # IEICE-PRMU2011-59,IEICE-IBISML2011-18 
Volume (vol) IEICE-111 
Number (no) no.193(PRMU), no.194(IBISML) 
Page pp.9-14 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2011-08-29,IEICE-IBISML-2011-08-29 


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