| Presentation | 1998/3/20 Incremental Projection Learning for Optimal Generalization Masashi SUGIYAMA, Hidemitsu OGAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the case where new training data is added after the learning process has been completed, incremental learning, in which the posterior result is built upon the prior results, is generally preferred because it is effective in computation. In this paper, we give an incremental projection learning in the presence of noise. The memory and computational complexity required for the incremental projection learning is far less than that required for the batch projection learning. Note that the incremental projection learning provides exactly the same result as that obtained by the batch projection learning. Moreover, we derive a condition for identifying redundant training data that has no effect on the generalization ability, so that the computation becomes more efficient. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | feed forward neural network / learning / generalization / projection learning / incremental learning / batch learning |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/20(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| 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) | Incremental Projection Learning for Optimal Generalization |
| Sub Title (in English) | |
| Keyword(1) | feed forward neural network |
| Keyword(2) | learning |
| Keyword(3) | generalization |
| Keyword(4) | projection learning |
| Keyword(5) | incremental learning |
| Keyword(6) | batch learning |
| 1st Author's Name | Masashi SUGIYAMA |
| 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 | 1998/3/20 |
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| Volume (vol) | vol.97 |
| Number (no) | 624 |
| Page | pp.pp.- |
| #Pages | 8 |
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