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| Presentation | 2009-02-20 10:00 Maximum A Posteriori Estimation For Dirichlet Process Language Models Takaaki Tokuda, Tomoaki Kimura, Yohei Nakada, Takashi Matsumoto (Waseda Univ.)  PRMU2008-226 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, Mixture distributions with Dirichlet Process (DP) prior have been successfully applied to many practical problems. Markov Chain Monte Carlo (MCMC) or Variational Bayesian (VB) method have been used to implement mixture distributions with DP prior. In this paper, we propose a novel implementation method for multinomial mixtures and P\'{o}lya mixtures using DP prior. In this method, DP-Expectation Maximization (DP-EM) algorithms is used to compute Maximum A Posteriori (MAP) estimates of parameter set. Therefore, this method enables us to utilize useful properties of DP prior with more easer procedures than those of other implementation methods. To validate the proposed method, it is tested with text data set. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Dirichlet Process / Maximum A Posteriori estimation / EM Algorithm / Language Model / Mixture of Unigrams / Polya mixtures / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 432, PRMU2008-226, pp. 109-114, Feb. 2009. | |
| Paper # | PRMU2008-226 | |
| Date of Issue | 2009-02-12 (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 | PRMU2008-226 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2009-02-19 - 2009-02-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Univ. of Tokyo (IIS) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2009-02-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Maximum A Posteriori Estimation For Dirichlet Process Language Models |
| Sub Title (in English) | |
| Keyword(1) | Dirichlet Process |
| Keyword(2) | Maximum A Posteriori estimation |
| Keyword(3) | EM Algorithm |
| Keyword(4) | Language Model |
| Keyword(5) | Mixture of Unigrams |
| Keyword(6) | Polya mixtures |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takaaki Tokuda |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Tomoaki Kimura |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Yohei Nakada |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Takashi Matsumoto |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2009-02-20 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2008-226 |
| Volume (vol) | vol.108 |
| Number (no) | no.432 |
| Page | pp.109-114 |
| #Pages | 6 |
| Date of Issue | 2009-02-12 (PRMU) |
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