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Paper Abstract and Keywords
Presentation 2016-03-02 13:25
An Algorithm for Reducing Components of a Gaussian Mixture Model 2 -- A Method for Calculating Sensitivities --
Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2015-139
Abstract (in Japanese) (See Japanese page) 
(in English) In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful tool for representing a non-Gaussian distribution. In order to repeat summation, maximum, and/or minimum operations efficiently, the number of components should be restricted around two. Moreover, since the distribution is represented by a linear combination of some explanatory variables, we must compute the covariance between each explanatory variable and the distribution obtained by the operation, that is, we must compute the sensitivity of the distribution to each explanatory variable. In this paper, we propose a method to compute such sensitivities, and show performance evaluations of the method.
Keyword (in Japanese) (See Japanese page) 
(in English) Gaussian mixture model / reduction of components / statistical methods / sensitivity / covariance / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 465, VLD2015-139, pp. 161-166, Feb. 2016.
Paper # VLD2015-139 
Date of Issue 2016-02-22 (VLD) 
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 VLD  
Conference Date 2016-02-29 - 2016-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Seinen Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To VLD 
Conference Code 2016-02-VLD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Algorithm for Reducing Components of a Gaussian Mixture Model 2 
Sub Title (in English) A Method for Calculating Sensitivities 
Keyword(1) Gaussian mixture model  
Keyword(2) reduction of components  
Keyword(3) statistical methods  
Keyword(4) sensitivity  
Keyword(5) covariance  
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1st Author's Name Daiki Azuma  
1st Author's Affiliation Chuo University (Chuo Univ.)
2nd Author's Name Shuji Tsukiyama  
2nd Author's Affiliation Chuo University (Chuo Univ.)
3rd Author's Name Masahiro Fukui  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Takashi Kambe  
4th Author's Affiliation Kinki University (Kinki Univ.)
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Speaker
Date Time 2016-03-02 13:25:00 
Presentation Time 25 
Registration for VLD 
Paper # IEICE-VLD2015-139 
Volume (vol) IEICE-115 
Number (no) no.465 
Page pp.161-166 
#Pages IEICE-6 
Date of Issue IEICE-VLD-2016-02-22 


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