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| Presentation | 2011-01-24 18:25 Model Adaptation with Bayesian Hierarchical Models Hideki Asoh (AIST)  NLP2010-140 NC2010-104 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Model adaptation is a process of modifying general model which is trained with large amount of training data to adapt a specific task/user using small amount of adaptation data regarding the task/user. Typical examples are acoustic model adaptation and language model adaptation for speech recognition systems. Model adaptation is a kind of transfer learning and multi-task learning. Bayesian hierarchical modeling is known as a general tool for multi-task learning and widely used in various areas such as marketing, ecology, medicine, education, etc. to model the heterogeneity of the phenomena. In this work, a model adaptation procedure using Bayesian hierarchical models is given and applied to the problem of preference modeling, where a model trained with large amount of virtual situation data is adapted to real situation. Experimental results with context-aware food preference data demonstrate effectiveness of the proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | model adaptation / Bayesian hierarchical model / transfer learning / preference model / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 388, NC2010-104, pp. 93-98, Jan. 2011. | |
| Paper # | NC2010-104 | |
| Date of Issue | 2011-01-17 (NLP, NC) | |
| 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 | NLP2010-140 NC2010-104 |
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| Conference Information | |
| Committee | NC NLP |
| Conference Date | 2011-01-24 - 2011-01-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokakido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2011-01-NC-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Model Adaptation with Bayesian Hierarchical Models |
| Sub Title (in English) | |
| Keyword(1) | model adaptation |
| Keyword(2) | Bayesian hierarchical model |
| Keyword(3) | transfer learning |
| Keyword(4) | preference model |
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| 1st Author's Name | Hideki Asoh |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
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| Speaker | Author-1 |
| Date Time | 2011-01-24 18:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NLP2010-140, NC2010-104 |
| Volume (vol) | vol.110 |
| Number (no) | no.387(NLP), no.388(NC) |
| Page | pp.93-98 |
| #Pages | 6 |
| Date of Issue | 2011-01-17 (NLP, NC) |
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