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Paper Abstract and Keywords
Presentation 2013-11-22 14:15
Verification of Effectiveness of the Probabilistic Algorithm for Latent Structure Extraction Using Associative Memory Model
Kensuke Wakasugi (Univ. Tokyo), Tatsu Kuwatani (Tohoku Univ.), Kenji Nagata (Univ. Tokyo), Hideki Asoh (AIST), Masato Okada (Univ. Tokyo/RIKEN) NC2013-49
Abstract (in Japanese) (See Japanese page) 
(in English) There are many analysis methods for high-dimensional data, but, in many cases, analysis is done under assumption that a latent structure in data is known. If there is analysis method that could estimate a kind of latent structure in data without that assumption, the analysis method become more general analysis method.
In the previous study, the analysis method that select a latent structure in data from formal structures that has unknown structure was proposed. In this paper, we generate data from associative memory model which has an obvious structure, and we analyze the data with the proposed method. And then, we verify the validity of the analysis result.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine learning / Associative memory model / Hierarchical structure / Bayesian estimate / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 315, NC2013-49, pp. 17-22, Nov. 2013.
Paper # NC2013-49 
Date of Issue 2013-11-15 (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 2013-11-22 - 2013-11-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) BCI/BMI, NC and MBE 
Paper Information
Registration To NC 
Conference Code 2013-11-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Verification of Effectiveness of the Probabilistic Algorithm for Latent Structure Extraction Using Associative Memory Model 
Sub Title (in English)  
Keyword(1) Machine learning  
Keyword(2) Associative memory model  
Keyword(3) Hierarchical structure  
Keyword(4) Bayesian estimate  
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1st Author's Name Kensuke Wakasugi  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
2nd Author's Name Tatsu Kuwatani  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Kenji Nagata  
3rd Author's Affiliation The University of Tokyo (Univ. Tokyo)
4th Author's Name Hideki Asoh  
4th Author's Affiliation The National Institute of Advanced Industrial Science and Technology (AIST)
5th Author's Name Masato Okada  
5th Author's Affiliation The University of Tokyo/RIKEN (Univ. Tokyo/RIKEN)
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Speaker Author-1 
Date Time 2013-11-22 14:15:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2013-49 
Volume (vol) vol.113 
Number (no) no.315 
Page pp.17-22 
#Pages
Date of Issue 2013-11-15 (NC) 


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