| Presentation | 2007-06-29 Semi-supervised Learning based on Dirichlet Process Mixture Models Naonori UEDA, Takeshi YAMADA, Shuhei KUWATA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Focusing on the classifier design problem by using both labeled and unlabeled samples, we presents a new semi-supervised learning method based on the Dirichlet process mixture models. We employ the tied mixture model in which a feature vector space is shared among the classifiers for all classes so that both labeled and unlabed samples can be trained simultaneously. By introducing the Dirichlet process into the generation process of each component, the proposed method has a great advantage over the conventional tied mixture models in the sense that the proposed model can adaptively determine the appropriate number of components depending on a given set of trainig samples. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | semi-supervised learning / Dirichlet process mixture / tied mixture models / classifier design |
| Paper # | DE2007-16,PRMU2007-42 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2007/6/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semi-supervised Learning based on Dirichlet Process Mixture Models |
| Sub Title (in English) | |
| Keyword(1) | semi-supervised learning |
| Keyword(2) | Dirichlet process mixture |
| Keyword(3) | tied mixture models |
| Keyword(4) | classifier design |
| 1st Author's Name | Naonori UEDA |
| 1st Author's Affiliation | NTT Comunication Science Laboratories, NTT Corporation() |
| 2nd Author's Name | Takeshi YAMADA |
| 2nd Author's Affiliation | NTT Comunication Science Laboratories, NTT Corporation |
| 3rd Author's Name | Shuhei KUWATA |
| 3rd Author's Affiliation | NTT Comunication Science Laboratories, NTT Corporation |
| Date | 2007-06-29 |
| Paper # | DE2007-16,PRMU2007-42 |
| Volume (vol) | vol.107 |
| Number (no) | 114 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |