Paper Abstract and Keywords |
Presentation |
2014-09-02 16:15
Rates of convergence of the universal Bayesian measure for continuous data Takanori Ayano, Joe Suzuki (Osaka Univ.) PRMU2014-53 IBISML2014-34 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It is very important to estimate the probability of the data series accurately for applying MDL information criterion.
For discrete data, it is known that the methods based on universal coding in information theory have high precision (universal Bayesian measures) and
are used in MDL.
Recently, Ryabko extended the universal Bayesian measures for discrete data to continuous data and
one gets to be able to apply MDL for not only discrete data but also continuous data.
In this presentation, we give the rates of convergence for the generalization error of the universal Bayesian measures for continuous data and
show that they achieve the optimal rate under a certain condition. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
MDL information criterion / universal code / density estimation / information theory / data compression / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 198, IBISML2014-34, pp. 143-146, Sept. 2014. |
Paper # |
IBISML2014-34 |
Date of Issue |
2014-08-25 (PRMU, 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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PRMU2014-53 IBISML2014-34 |
Conference Information |
Committee |
PRMU IBISML IPSJ-CVIM |
Conference Date |
2014-09-01 - 2014-09-02 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
IBISML |
Conference Code |
2014-09-PRMU-IBISML-CVIM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Rates of convergence of the universal Bayesian measure for continuous data |
Sub Title (in English) |
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Keyword(1) |
MDL information criterion |
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universal code |
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density estimation |
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information theory |
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data compression |
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1st Author's Name |
Takanori Ayano |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Joe Suzuki |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2014-09-02 16:15:00 |
Presentation Time |
30 minutes |
Registration for |
IBISML |
Paper # |
PRMU2014-53, IBISML2014-34 |
Volume (vol) |
vol.114 |
Number (no) |
no.197(PRMU), no.198(IBISML) |
Page |
pp.143-146 |
#Pages |
4 |
Date of Issue |
2014-08-25 (PRMU, IBISML) |
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