| Presentation | 2009-12-18 Estimation problem in Kernel regression analysis Hideyuki IMAI, Akira TANAKA, Sei-ichi IKEDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A lot of approaches have been proposed for analyzing data with complex structure. Kernel regression analysis is one of them. We formulate kernel regression analysis as a function estimation problem, and sampling process as a linear operator defined on a Hilbert space. We show a condition that unknown function is represented by some basis functions and coefficients obtaind by sampling points. Moreover, when additive noise occurs in the sampling process, estimation does not always works well even if the condition is satisfied. We proposed a method based on information criterion to select some suitable data points to improve estimation and prediction. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pU^AT_FX2_ε class file / typesetting |
| Paper # | PRMU2009-149 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2009/12/10(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 | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation problem in Kernel regression analysis |
| Sub Title (in English) | |
| Keyword(1) | pU^AT_FX2_ε class file |
| Keyword(2) | typesetting |
| 1st Author's Name | Hideyuki IMAI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
| 2nd Author's Name | Akira TANAKA |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| 3rd Author's Name | Sei-ichi IKEDA |
| 3rd Author's Affiliation | R&D Kushiro National College of Technology |
| Date | 2009-12-18 |
| Paper # | PRMU2009-149 |
| Volume (vol) | vol.109 |
| Number (no) | 344 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |