| Presentation | 1999/7/19 Mapping Ability of Multilayered Neural Network Introduced Linear Dependent Constraints among Weights Masaki ISHII, Itsuo KUMAZAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to improve generalization ability, it is effective to restrict degrees of freedom of representation model based on a priori knowledge about target. A method we proposed here is to introduce linear dependent constraints among weights, as an approach of restricting degrees of freedom. The linear dependency is determined based on some invarience structure of input patterns. Before discussing its generalization ability, it is necessary to clarify how its mapping ability decreases by introducing such constraints. Therefore for multilayerd neural network with threshold units, we clarify the bounds on the VC dimension as its mapping ability. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neural network / a priori knowledge / dependent constraints / VC dimension |
| Paper # | NC99-36 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1999/7/19(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) | Mapping Ability of Multilayered Neural Network Introduced Linear Dependent Constraints among Weights |
| Sub Title (in English) | |
| Keyword(1) | neural network |
| Keyword(2) | a priori knowledge |
| Keyword(3) | dependent constraints |
| Keyword(4) | VC dimension |
| 1st Author's Name | Masaki ISHII |
| 1st Author's Affiliation | Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology() |
| 2nd Author's Name | Itsuo KUMAZAWA |
| 2nd Author's Affiliation | Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology |
| Date | 1999/7/19 |
| Paper # | NC99-36 |
| Volume (vol) | vol.99 |
| Number (no) | 193 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |