Paper Abstract and Keywords |
Presentation |
2013-03-04 16:10
An Application of Minimum Description Length Criterion to the Model Selection of Discrete Mixture Models Yasuaki Akazawa, Masato Inoue (Waseda Univ.) IBISML2012-97 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Minimum description length (MDL) is an information criterion which estimates the optimal complexity of a stochastic model. The estimated model minimizes the description length which is equivalent to compressed size of independent and identically distributed samples. Generally, this information includes both frequency and order of samples. However, the information of order is usually unnecessary for the model selection of mixture models. In order to apply MDL criterion to the model selection of discrete mixture models, we introduce MDL criterion that only describes frequency. We also validate the performance of the modified MDL criterion by using artificial data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Model Selection / Minimum Description Length / Variational Bayes / Sherrington-Kirkpatrick Model / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 454, IBISML2012-97, pp. 31-38, March 2013. |
Paper # |
IBISML2012-97 |
Date of Issue |
2013-02-25 (IBISML) |
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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IBISML2012-97 |
Conference Information |
Committee |
IBISML |
Conference Date |
2013-03-04 - 2013-03-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nagoya Institute of Technology |
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(See Japanese page) |
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Paper Information |
Registration To |
IBISML |
Conference Code |
2013-03-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Application of Minimum Description Length Criterion to the Model Selection of Discrete Mixture Models |
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Model Selection |
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Minimum Description Length |
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Variational Bayes |
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Sherrington-Kirkpatrick Model |
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1st Author's Name |
Yasuaki Akazawa |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Masato Inoue |
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Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-03-04 16:10:00 |
Presentation Time |
25 minutes |
Registration for |
IBISML |
Paper # |
IBISML2012-97 |
Volume (vol) |
vol.112 |
Number (no) |
no.454 |
Page |
pp.31-38 |
#Pages |
8 |
Date of Issue |
2013-02-25 (IBISML) |