Presentation | 2003/12/1 Piecewise Multivariate Polynomial Regression using Multilayer Perceptrons Yusuke TANAHASHI, Takahiro ITO, Kazumi SAITO, Ryohei NAKANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Polynomials are quite suitable for expressing underlying regularities among multiple variates. When data have both numeric and nominal variates, we should solve piecewise multivariate polynomial regression. The regression means that we should automatically and adaptively divide the space spanned by nominal variates into subspaces,and within each subspace we should find the optimal multivarite regression function by using numeric variates. There has been no practical methods to solve such a hard problem. We have employed an numeric approach to the problem and proposed RF6.3 which is based on the finding that the problem can be decomposed into two subproblems: learning of a multilayer perceptron and rule restoration from the perceptron. We outline the method of RF6.3 and show how it can be applied to an estimation problem of professional baseball players salaries. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multi-layer perceptron / piecewise polynomial regression / MCV regularizer / double layer of cross validation / rule restoration |
Paper # | NC2003-94 |
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Conference Information | |
Committee | NC |
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Conference Date | 2003/12/1(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Piecewise Multivariate Polynomial Regression using Multilayer Perceptrons |
Sub Title (in English) | |
Keyword(1) | multi-layer perceptron |
Keyword(2) | piecewise polynomial regression |
Keyword(3) | MCV regularizer |
Keyword(4) | double layer of cross validation |
Keyword(5) | rule restoration |
1st Author's Name | Yusuke TANAHASHI |
1st Author's Affiliation | Nagoya Institute of Technology() |
2nd Author's Name | Takahiro ITO |
2nd Author's Affiliation | Nagoya Institute of Technology |
3rd Author's Name | Kazumi SAITO |
3rd Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation |
4th Author's Name | Ryohei NAKANO |
4th Author's Affiliation | Nagoya Institute of Technology |
Date | 2003/12/1 |
Paper # | NC2003-94 |
Volume (vol) | vol.103 |
Number (no) | 490 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |