Paper Abstract and Keywords |
Presentation |
2011-03-04 09:50
A Generalized MDL Criterion and its Application to Learning Bayesian Network Structure
-- When Both Discrete and Continuous Data are Present -- Joe Suzuki (Osaka Univ.) IT2010-106 ISEC2010-110 WBS2010-85 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose the MDL principle without assuming the source to be discrete.
As an application, we consider estimation of Bayesian network structures
when both discrete and continuous random variables are presented in the same
Bayesian network. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
MDL pronciple / Bayesian network / universal coding / Kullback-Leibler divergence / Radon-Nikodym derivative / / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 442, IT2010-106, pp. 249-254, March 2011. |
Paper # |
IT2010-106 |
Date of Issue |
2011-02-24 (IT, ISEC, WBS) |
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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IT2010-106 ISEC2010-110 WBS2010-85 |
Conference Information |
Committee |
ISEC IT WBS |
Conference Date |
2011-03-03 - 2011-03-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Osaka University |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
IT |
Conference Code |
2011-03-ISEC-IT-WBS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Generalized MDL Criterion and its Application to Learning Bayesian Network Structure |
Sub Title (in English) |
When Both Discrete and Continuous Data are Present |
Keyword(1) |
MDL pronciple |
Keyword(2) |
Bayesian network |
Keyword(3) |
universal coding |
Keyword(4) |
Kullback-Leibler divergence |
Keyword(5) |
Radon-Nikodym derivative |
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1st Author's Name |
Joe Suzuki |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2011-03-04 09:50:00 |
Presentation Time |
25 minutes |
Registration for |
IT |
Paper # |
IT2010-106, ISEC2010-110, WBS2010-85 |
Volume (vol) |
vol.110 |
Number (no) |
no.442(IT), no.443(ISEC), no.444(WBS) |
Page |
pp.249-254 |
#Pages |
6 |
Date of Issue |
2011-02-24 (IT, ISEC, WBS) |
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