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Paper Abstract and Keywords
Presentation 2022-06-27 17:50
Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models
Takashi Takekawa (Kogakuin Univ.) NC2022-9 IBISML2022-9
Abstract (in Japanese) (See Japanese page) 
(in English) Mixture models for multivariate normal distributions (GMM) are widely used for data clustering. To compensate for the shortcomings of GMMs, we formulated a mixture model for normal Inverse Gaussian distribution (NIGMM) that takes asymmetry and non-normality into account. To evaluate the performance of NIGMM, we implemented fast variational Bayesian (VB) and Gibbs sampling (GS) solution using GPU parallelization. We evaluate these implementations for clustering performance, model evidence, WAIC, and computation time.
Keyword (in Japanese) (See Japanese page) 
(in English) Clustering / Dirichlet Process / Asymmetry / non-Normality / WAIC / Generalized Inverse Gaussian / Bessel Function /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 90, IBISML2022-9, pp. 76-79, June 2022.
Paper # IBISML2022-9 
Date of Issue 2022-06-20 (NC, IBISML) 
ISSN 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 NC2022-9 IBISML2022-9

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2022-06-27 - 2022-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IBISML 
Conference Code 2022-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models 
Sub Title (in English)  
Keyword(1) Clustering  
Keyword(2) Dirichlet Process  
Keyword(3) Asymmetry  
Keyword(4) non-Normality  
Keyword(5) WAIC  
Keyword(6) Generalized Inverse Gaussian  
Keyword(7) Bessel Function  
Keyword(8)  
1st Author's Name Takashi Takekawa  
1st Author's Affiliation Kogakuin University of Technology and Engineering (Kogakuin Univ.)
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Speaker Author-1 
Date Time 2022-06-27 17:50:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2022-9, IBISML2022-9 
Volume (vol) vol.122 
Number (no) no.89(NC), no.90(IBISML) 
Page pp.76-79 
#Pages 4 
Date of Issue 2022-06-20 (NC, IBISML) 

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