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Paper Abstract and Keywords
Presentation 2013-07-18 16:05
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
Song Liu (Tokyo Tech.), John A. Quinn (Makerere Univ.), Michael U. Gutmann (Univ. of Helsinki), Masashi Sugiyama (Tokyo Tech.) IBISML2013-12
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a new method for detecting changes in Markov network structure between two sets of samples. Instead of naively fitting two Markov network models separately to the two data sets and figuring out their difference, we emph{directly} learn the network structure change by estimating the ratio of Markov network models. This density-ratio formulation naturally allows us to introduce sparsity in the network structure change, which highly contributes to enhancing interpretability. Furthermore, computation of the normalization term, which is a critical computational bottleneck of the naive approach, can be remarkably mitigated. Through experiments on gene expression and Twitter data analysis, we demonstrate the usefulness of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Markov Network / Density Ratio Estimation / Change Detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 139, IBISML2013-12, pp. 81-88, July 2013.
Paper # IBISML2013-12 
Date of Issue 2013-07-11 (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 IBISML2013-12

Conference Information
Committee IBISML  
Conference Date 2013-07-18 - 2013-07-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Nishiwaseda Campus (Waseda univ.) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learningn, etc. 
Paper Information
Registration To IBISML 
Conference Code 2013-07-IBISML 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation 
Sub Title (in English)  
Keyword(1) Markov Network  
Keyword(2) Density Ratio Estimation  
Keyword(3) Change Detection  
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1st Author's Name Song Liu  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
2nd Author's Name John A. Quinn  
2nd Author's Affiliation Makerere University (Makerere Univ.)
3rd Author's Name Michael U. Gutmann  
3rd Author's Affiliation University of Helsinki (Univ. of Helsinki)
4th Author's Name Masashi Sugiyama  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
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Speaker Author-1 
Date Time 2013-07-18 16:05:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2013-12 
Volume (vol) vol.113 
Number (no) no.139 
Page pp.81-88 
#Pages 8 
Date of Issue 2013-07-11 (IBISML) 

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