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Paper Abstract and Keywords
Presentation 2010-11-18 18:10
Comparison of Precision in Posterior Probability Estimation for Classification of Electroencephalogram -- Comparision of Support Vector Machine and Relevance Vector Machine --
Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2010-61
Abstract (in Japanese) (See Japanese page) 
(in English) The posterior probability in classification is useful information, which can be used for the rejection of uncertain classification results, for example.
Reliability-based automatic repeat request (RB-ARQ), proposed by the authors to improve the performance of the brain-computer interface, also utilizes it.
This paper compares three types of classifiers: LDA, SVM, and relevance vector machine (RVM), in terms of the estimation accuracy of the posterior probability and the classification performance when the rejection and RB-ARQ are applied.
The results show that LDA is the best for the P300 speller with RB-ARQ, and RVM is the best for a motor imagery task with the rejection.
Keyword (in Japanese) (See Japanese page) 
(in English) Posterior probability / Support vector machine / Relevance vector machine / Brain-computer interface / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 295, NC2010-61, pp. 47-52, Nov. 2010.
Paper # NC2010-61 
Date of Issue 2010-11-11 (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 NC2010-61

Conference Information
Committee MBE NC  
Conference Date 2010-11-18 - 2010-11-19 
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 2010-11-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparison of Precision in Posterior Probability Estimation for Classification of Electroencephalogram 
Sub Title (in English) Comparision of Support Vector Machine and Relevance Vector Machine 
Keyword(1) Posterior probability  
Keyword(2) Support vector machine  
Keyword(3) Relevance vector machine  
Keyword(4) Brain-computer interface  
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1st Author's Name Hiromu Takahashi  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Tomohiro Yoshikawa  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takeshi Furuhashi  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2010-11-18 18:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2010-61 
Volume (vol) vol.110 
Number (no) no.295 
Page pp.47-52 
#Pages 6 
Date of Issue 2010-11-11 (NC) 

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