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| Presentation | 2009-03-13 15:50 Semi-supervised learning scheme using Dirichlet process EM-algorithm Tomoaki Kimura, Yohei Nakada (Waseda Univ.), Arnaud Doucet (ISM), Takashi Matsumoto (Waseda Univ.)  PRMU2008-251 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Learning with dataset which contains both labeled data and unlabeled data is often called semi-supervised learning problem. In the last decade, semi-supervised learning problem has become one of the important research problems in many fields. This article presents a novel semi-supervised learning scheme using Bayesian Maximum A Posteriori Expectation Maximization (MAP-EM) algorithm with Dirichlet process prior (stick-breaking representation). The proposed scheme enables us to estimate mixture model under unknown number of components and provides a simpler implementation than other implementations such as Markov Chain Monte Carlo (MCMC) implementations. Two examples of Gaussian mixture are examined to validate the proposed scheme. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | learning system / semi-supervised learning / Dirichlet process / stick breaking / EM / Gaussian mixture / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 484, PRMU2008-251, pp. 77-82, March 2009. | |
| Paper # | PRMU2008-251 | |
| Date of Issue | 2009-03-06 (PRMU) | |
| 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 | PRMU2008-251 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2009-03-13 - 2009-03-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2009-03-PRMU |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semi-supervised learning scheme using Dirichlet process EM-algorithm |
| Sub Title (in English) | |
| Keyword(1) | learning system |
| Keyword(2) | semi-supervised learning |
| Keyword(3) | Dirichlet process |
| Keyword(4) | stick breaking |
| Keyword(5) | EM |
| Keyword(6) | Gaussian mixture |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tomoaki Kimura |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Yohei Nakada |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Arnaud Doucet |
| 3rd Author's Affiliation | ISM (ISM) |
| 4th Author's Name | Takashi Matsumoto |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2009-03-13 15:50:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2008-251 |
| Volume (vol) | vol.108 |
| Number (no) | no.484 |
| Page | pp.77-82 |
| #Pages | 6 |
| Date of Issue | 2009-03-06 (PRMU) |
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