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Paper Abstract and Keywords
Presentation 2012-11-08 15:00
Considering the multiplicity in mixture model brings better results
Tetsuo Furukawa (Kyutech) IBISML2012-89
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this work is to re-examine the probabilistic model of the
mixture model, and to derive the algorithm by the variational Bayesian
method. In the mixture model with $K$ components, there exist $K!$
equivalent solutions with respect to the permutation of the components.
Usually we only need to obtain one of those solutions, and the others
can be ignored. However, those equivalent solutions occasionally
interfere each other when we apply the variational Bayesian (VB), and it
causes the local miminum problem. In this work, we derived the
probabilistic model which considers the equivalent solutions. The
obtained algorithm is more robust to the local optimum, while the
calculation cost is as low as the conventional one.
Keyword (in Japanese) (See Japanese page) 
(in English) Mixture model / EM algorithm / Variational Bayesian / local optimum solution / nonidentifiability problem / label identifiability / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 279, IBISML2012-89, pp. 395-402, Nov. 2012.
Paper # IBISML2012-89 
Date of Issue 2012-10-31 (IBISML) 
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 IBISML2012-89

Conference Information
Committee IBISML  
Conference Date 2012-11-07 - 2012-11-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunkyo School Building, Tokyo Campus, Tsukuba Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) the 15th Information-Based Induction Sciences Workshop 
Paper Information
Registration To IBISML 
Conference Code 2012-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Considering the multiplicity in mixture model brings better results 
Sub Title (in English)  
Keyword(1) Mixture model  
Keyword(2) EM algorithm  
Keyword(3) Variational Bayesian  
Keyword(4) local optimum solution  
Keyword(5) nonidentifiability problem  
Keyword(6) label identifiability  
Keyword(7)  
Keyword(8)  
1st Author's Name Tetsuo Furukawa  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2012-11-08 15:00:00 
Presentation Time 150 minutes 
Registration for IBISML 
Paper # IBISML2012-89 
Volume (vol) vol.112 
Number (no) no.279 
Page pp.395-402 
#Pages 8 
Date of Issue 2012-10-31 (IBISML) 

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