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Paper Abstract and Keywords
Presentation 2013-12-21 13:30
Difference of Enough Nmbers for General and Regular Asymptotic Theories in Statistical Learning
Sumio Watanabe (Tokyo Tech) NC2013-61
Abstract (in Japanese) (See Japanese page) 
(in English) There are two asymptotic theories in statistical learning. One is the regular theory which assumes that the likelihood function can be approximated by a normal distribution, the other is the general theory which does not need such assumption. From the mathematical point of view, both theories need the limit condition that the number of traning samples
goes to infinity. However, it strongly depends on the situation whether we can apply the theories to a practical problem or not. In this paper, we study the problem of discovery, and experimentally show that the regular theory can not be applied for observation of discovery of structure, whereas the general theory can be applicable.
Keyword (in Japanese) (See Japanese page) 
(in English) General asymptotic theory / Regular asymptotic theory / WAIC / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 374, NC2013-61, pp. 47-52, Dec. 2013.
Paper # NC2013-61 
Date of Issue 2013-12-14 (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)
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Conference Information
Committee NC MBE  
Conference Date 2013-12-21 - 2013-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Gifu University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2013-12-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Difference of Enough Nmbers for General and Regular Asymptotic Theories in Statistical Learning 
Sub Title (in English)  
Keyword(1) General asymptotic theory  
Keyword(2) Regular asymptotic theory  
Keyword(3) WAIC  
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1st Author's Name Sumio Watanabe  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Date Time 2013-12-21 13:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2013-61 
Volume (vol) vol.113 
Number (no) no.374 
Page pp.47-52 
#Pages
Date of Issue 2013-12-14 (NC) 


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