| Presentation | 1998/10/24 The Family of Projection Learnings Akira HIRABAYASHI, Hidemitsu OGAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In feed-forward neural networks, the projection learning(PL), the partial projection learning(PTPL), and the averaged projection learning(APL) are proposed to obtain good generalization ability. The collection of learning methods that involve projections of the original function, including the previous three, are called the family of projection learnings. We propose a new and natural definition of the family of projection learnings, which have concrete and clear physical meanings, unlike previous ones. Based on the new definition, we derive a general form of learning operators. Properties of the family of projection learnings such as noise suppression capability will also be analyzed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | feedforward neural network / supervised learning / generalization ability / projection learning |
| Paper # | NC98-49 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/10/24(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) | The Family of Projection Learnings |
| Sub Title (in English) | |
| Keyword(1) | feedforward neural network |
| Keyword(2) | supervised learning |
| Keyword(3) | generalization ability |
| Keyword(4) | projection learning |
| 1st Author's Name | Akira HIRABAYASHI |
| 1st Author's Affiliation | Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology() |
| 2nd Author's Name | Hidemitsu OGAWA |
| 2nd Author's Affiliation | Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology |
| Date | 1998/10/24 |
| Paper # | NC98-49 |
| Volume (vol) | vol.98 |
| Number (no) | 365 |
| Page | pp.pp.- |
| #Pages | 8 |
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