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Paper Abstract and Keywords
Presentation 2012-08-01 10:30
A Study on Grading Error Detection of Entrance Examination based on the Pattern Categorization Using Asymmetric Partial Normal Distribution
Masato Suzuki, Daisuke Kitakoshi (TNCT) DE2012-17
Abstract (in Japanese) (See Japanese page) 
(in English) A wrong answer detection algorithm with sufficient accuracy is required in the grading support system of entrance examination. A pattern recognition algorithm is effective for distinguishing a certain class from other classes, but it is premised that features extracted from character picture is following a normal distribution, in many cases. Therefore, it is difficult to assume a normal distribution as a distribution of characteristic features, because the distribution of them is distorted when wrong answers are contained. In this manuscript, we propose the asymmetric partial normal distribution, which made the normal distribution distorted. We can estimate the population distribution from samples, since the statistics value up to the third order can be solved analytically, in the asymmetric partial normal distribution. So, we can detect wrong answers successively with hypothesis testing based on the estimated population distribution. In experiments, we can detect 95.8\% of the whole wrong answer using our algorithm, and it is found that our algorithm is useful to detect wrong answers for grading support system of entrance examination.
Keyword (in Japanese) (See Japanese page) 
(in English) Asymmetric partial normal distribution / Grading support system of entrance examination / Error detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 172, DE2012-17, pp. 7-12, Aug. 2012.
Paper # DE2012-17 
Date of Issue 2012-07-25 (DE) 
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 DE2012-17

Conference Information
Committee DE  
Conference Date 2012-08-01 - 2012-08-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Big Data Engineering, etc 
Paper Information
Registration To DE 
Conference Code 2012-08-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Grading Error Detection of Entrance Examination based on the Pattern Categorization Using Asymmetric Partial Normal Distribution 
Sub Title (in English)  
Keyword(1) Asymmetric partial normal distribution  
Keyword(2) Grading support system of entrance examination  
Keyword(3) Error detection  
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1st Author's Name Masato Suzuki  
1st Author's Affiliation Tokyo National College of Technology (TNCT)
2nd Author's Name Daisuke Kitakoshi  
2nd Author's Affiliation Tokyo National College of Technology (TNCT)
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Speaker Author-1 
Date Time 2012-08-01 10:30:00 
Presentation Time 30 minutes 
Registration for DE 
Paper # DE2012-17 
Volume (vol) vol.112 
Number (no) no.172 
Page pp.7-12 
#Pages 6 
Date of Issue 2012-07-25 (DE) 

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