| Presentation | 2010-01-18 On Generalization Error of Self-organizing Map Fumiaki SAITOH, Sumio WATANABE, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Self-organizing map is usually used for estimation of a low dimensional manifold in a high dimensional space. The main purpose of applying it is to extract the hidden structure from samples, hence it has not been clarified how accurate the estimation of the low dimensional manifold is. In this paper, in order to study the accuracy of the statistial estimation using the self-organizing map, we define the generalization error, and show its behavior experimentally. Based on experiments, it is shown that the learning curve of the self-organizing map is determined by the order of the dimension of the parameter. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-organizing Map / Generalization Error / information extraction / Statistical Learning |
| Paper # | NC2009-78 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2010/1/11(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) | On Generalization Error of Self-organizing Map |
| Sub Title (in English) | |
| Keyword(1) | Self-organizing Map |
| Keyword(2) | Generalization Error |
| Keyword(3) | information extraction |
| Keyword(4) | Statistical Learning |
| 1st Author's Name | Fumiaki SAITOH |
| 1st Author's Affiliation | Tokyo Institute of Technology Precision and Intellignce Laboratory() |
| 2nd Author's Name | Sumio WATANABE |
| 2nd Author's Affiliation | Tokyo Institute of Technology Precision and Intellignce Laboratory |
| Date | 2010-01-18 |
| Paper # | NC2009-78 |
| Volume (vol) | vol.109 |
| Number (no) | 363 |
| Page | pp.pp.- |
| #Pages | 6 |
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