| Presentation | 2006-12-05 Multiple Regression with Automatic Nominal Space Partition using a Four-Layer Perceptron Yusuke TANAHASHI, YING Yan, Ryohei NAKANO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We present a new method for solving multiple regression with automatic nominal space partition by using a four-layer perceptron to fit multivariate data containing numeric and nominal variables. In our method, each regression function is accompanied with the corresponding nominal condition stating a subspace where the regression formula is applied. We outline our method and show how it worked in our experiments using an artificial data set and two real data sets. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | four-layer perceptron / multiple regression / rule restoration / model selection |
| Paper # | NC2006-82 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2006/11/28(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) | Multiple Regression with Automatic Nominal Space Partition using a Four-Layer Perceptron |
| Sub Title (in English) | |
| Keyword(1) | four-layer perceptron |
| Keyword(2) | multiple regression |
| Keyword(3) | rule restoration |
| Keyword(4) | model selection |
| 1st Author's Name | Yusuke TANAHASHI |
| 1st Author's Affiliation | Nagoya Institute of Technology() |
| 2nd Author's Name | YING Yan |
| 2nd Author's Affiliation | Nagoya Institute of Technology |
| 3rd Author's Name | Ryohei NAKANO |
| 3rd Author's Affiliation | Nagoya Institute of Technology |
| Date | 2006-12-05 |
| Paper # | NC2006-82 |
| Volume (vol) | vol.106 |
| Number (no) | 407 |
| Page | pp.pp.- |
| #Pages | 6 |
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