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| Title | Semi-supervised Learning based on Dirichlet Process Mixture Models (in Japanese) |
|---|---|
| Authors | Naonori Ueda 、Takeshi Yamada 、Shuhei Kuwata |
| Released Year | 2007 |
| Format | Conference |
| Category | Knowledge information processing |
| Jounal Name | |
| Jounal Page | vol.107 no.114, pp.87-92 |
| Published Year | 2007 |
| Published Month | 6 |
| Abstract （English） |
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| Note （English） |
1 |
| Manuscript | |
| Presentation |
Involved Papers
- Hierarchical Multi-label Classification on Statistical Decision Theory (in Japanese)
- A Consideration on Minimum Storage Regenerating Codes for Functions (in Japanese)
- A Note on the Inference Algorithm on the Factor Graph based on the Linear Programming (in Japanese)
- An Efficient Algorithm for the Bayes Codes using an Unlimited Depth Context Tree
- Linear Programming Decoding of Binary Linear Codes for Multiple-Access Channel (in Japanese)
- A Note on the Fixed-Length Source Coding Theorems for Sources with Side Information (in Japanese)
