| Paper Abstract and Keywords |
| Presentation |
2016-03-10 10:40
Redundancy of Bayesian Code with Markov Fractal Prior Distributions Naoya Matsukami, Tsutomu Kawabata (UEC) IT2015-103 ISEC2015-62 WBS2015-86 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Bayesian code method is used as a standard in realizing a universal noiseless source code. For a memoryless source, a mixture with an absolutely continuous prior has a redundancy, which is asymptotic to the dimension of the parameter space times the half of log data length. Extending the prior to singular distribution is an emerging research area, where studies support a conjecture that the dimension can be substituted by the R$mathrm{acute{e}}$nyi information dimension of the prior. Extending our previous proof on self-similar prior, we consider the case of Markov fractal prior, and prove the conjecture. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
universal encoding / redundancy analysis / singular prior / self-similar measure / R$mathrm{acute{e}}$nyi information dimension / markov process / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 500, IT2015-103, pp. 13-17, March 2016. |
| Paper # |
IT2015-103 |
| Date of Issue |
2016-03-03 (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) |
| Download PDF |
IT2015-103 ISEC2015-62 WBS2015-86 |
| Conference Information |
| Committee |
IT ISEC WBS |
| Conference Date |
2016-03-10 - 2016-03-11 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
The University of Electro-Communications |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
joint meeting of IT, ISEC, and WBS |
| Paper Information |
| Registration To |
IT |
| Conference Code |
2016-03-IT-ISEC-WBS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Redundancy of Bayesian Code with Markov Fractal Prior Distributions |
| Sub Title (in English) |
|
| Keyword(1) |
universal encoding |
| Keyword(2) |
redundancy analysis |
| Keyword(3) |
singular prior |
| Keyword(4) |
self-similar measure |
| Keyword(5) |
R$mathrm{acute{e}}$nyi information dimension |
| Keyword(6) |
markov process |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Naoya Matsukami |
| 1st Author's Affiliation |
The University of Electro-Communications (UEC) |
| 2nd Author's Name |
Tsutomu Kawabata |
| 2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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| Speaker |
Author-1 |
| Date Time |
2016-03-10 10:40:00 |
| Presentation Time |
25 minutes |
| Registration for |
IT |
| Paper # |
IT2015-103, ISEC2015-62, WBS2015-86 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.500(IT), no.501(ISEC), no.502(WBS) |
| Page |
pp.13-17 |
| #Pages |
5 |
| Date of Issue |
2016-03-03 (IT, ISEC, WBS) |