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Paper Abstract and Keywords
Presentation 2011-03-29 12:00
Learning an Invariant Substructure of Multiple Graphical Gaussian Models
Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2010-129
Abstract (in Japanese) (See Japanese page) 
(in English) Dependency structure among variables is closely tied to an underlying data generating process. Therefore, learning a dependency structure from observations is an important task in data mining. Especially when multiple data sources involve common substructure among their dependency structures, it implies an existence of an underlying fundamental mechanism. In this paper, we propose a learning algorithm for finnding such a common dependency structure from multiple datasets in the case of Gaussian Graphical Model (GGM). Our proposed algorithm is based on a block coordinate descent method and is a natural extension of an existing learning algorithm for GGM. We show the validity of our approach in a numerical simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Graphical Gaussian Model, / invariant substructure / $\ell_1$regularization, / block coordinate descent / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 476, IBISML2010-129, pp. 177-181, March 2011.
Paper # IBISML2010-129 
Date of Issue 2011-03-21 (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 IBISML2010-129

Conference Information
Committee IBISML  
Conference Date 2011-03-28 - 2011-03-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Nakanoshima Center, Osaka Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Text and Web mining, etc. 
Paper Information
Registration To IBISML 
Conference Code 2011-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning an Invariant Substructure of Multiple Graphical Gaussian Models 
Sub Title (in English)  
Keyword(1) Graphical Gaussian Model,  
Keyword(2) invariant substructure  
Keyword(3) $\ell_1$regularization,  
Keyword(4) block coordinate descent  
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1st Author's Name Satoshi Hara  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Takashi Washio  
2nd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2011-03-29 12:00:00 
Presentation Time 20 minutes 
Registration for IBISML 
Paper # IBISML2010-129 
Volume (vol) vol.110 
Number (no) no.476 
Page pp.177-181 
#Pages 5 
Date of Issue 2011-03-21 (IBISML) 

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