| Presentation | 2005-02-24 The Theory and Algorithm of Semi-supervised Learning Naonori UEDA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In classifier design, labeled data are often fairly expensive to acquire beacase the class labels are identified by human experts. Semi-supervised learning provides methods for effectively using a large amount of unlabeled data with a small amount of labeled data when trainig a classifier. Semi-supervised learning cosists of parametric approch based on probabilistic model and non-parametric approach in which spectral method is used based on data similarities. This report gives a review on theory and algorithm of both approaches. In particular, for non-parametric approach. the importance of metric learning is shown and a method that simultaneously performs posterior propagation and metric learning is newly presented with preliminary result using artificial data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | semi-supervised learning / pattern recognition / non-parametric approach / spectral clustering / metric learning |
| Paper # | NLC2004-101,PRMU2004-183 |
| Date of Issue |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2005/2/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The Theory and Algorithm of Semi-supervised Learning |
| Sub Title (in English) | |
| Keyword(1) | semi-supervised learning |
| Keyword(2) | pattern recognition |
| Keyword(3) | non-parametric approach |
| Keyword(4) | spectral clustering |
| Keyword(5) | metric learning |
| 1st Author's Name | Naonori UEDA |
| 1st Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation() |
| Date | 2005-02-24 |
| Paper # | NLC2004-101,PRMU2004-183 |
| Volume (vol) | vol.104 |
| Number (no) | 667 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |