| Presentation | 2011-01-24 Model Adaptation with Bayesian Hierarchical Models Hideki ASOH, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Bayesian hierarchical model / model adaptation / transfer learning / preference model |
| Paper # | NLP2010-140,NC2010-104 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2011/1/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| 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) | Bayesian hierarchical model |
| Keyword(2) | model adaptation |
| Keyword(3) | transfer learning |
| Keyword(4) | preference model |
| 1st Author's Name | Hideki ASOH |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST)() |
| Date | 2011-01-24 |
| Paper # | NLP2010-140,NC2010-104 |
| Volume (vol) | vol.110 |
| Number (no) | 388 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |