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Paper Abstract and Keywords
Presentation 2011-03-08 09:50
A Theoretical Analysis of KL-type Generalization Error on Hidden Variable Distribution
Keisuke Yamazaki (Tokyo Inst. of Tech.) NC2010-165
Abstract (in Japanese) (See Japanese page) 
(in English) In information science, hierarchical models such as mixture models,
hidden Markov models and Bayesian networks are widely used.
They are all described on the basis of hidden variables
and estimation of their values is a critical issue in many fields.
For example, a mixture model is often used for the clustering,
where the hidden variables show which clusters the given data come from.
In the time series analysis,
a sequence of the hidden variable on hidden Markov models
or state space models represents the desired unobservable system dynamics.
In spite of these practical concerns, the estimation accuracy has not been clarified yet.
This paper first defines a generalization error on hidden variables,
and then provides its asymptotic analysis on a Bayesian learning.
Results show that the theoretical convergent rate
depends on the data generating distribution unlike the prediction of unseen observable data,
and that the error diverges when there are redundant hidden variables.
Keyword (in Japanese) (See Japanese page) 
(in English) Hidden Variable Estimation / Generalization Error / Bayes Estimation / Asymptotic Analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 461, NC2010-165, pp. 223-228, March 2011.
Paper # NC2010-165 
Date of Issue 2011-02-28 (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 NC2010-165

Conference Information
Committee NC MBE  
Conference Date 2011-03-07 - 2011-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2011-03-NC-MBE 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Theoretical Analysis of KL-type Generalization Error on Hidden Variable Distribution 
Sub Title (in English)  
Keyword(1) Hidden Variable Estimation  
Keyword(2) Generalization Error  
Keyword(3) Bayes Estimation  
Keyword(4) Asymptotic Analysis  
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1st Author's Name Keisuke Yamazaki  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2011-03-08 09:50:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2010-165 
Volume (vol) vol.110 
Number (no) no.461 
Page pp.223-228 
#Pages
Date of Issue 2011-02-28 (NC) 


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