| Presentation | 2000/7/11 Discovery of Nominally Conditioned Polynomials : RF6.2 Algorithm Kazumi Saito, Ryohei Nakano, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Given data containing both nominal and numeric values, this paper considers discovering a law in the form of a rule set of nominally conditioned polynomials. Recently, a connectioinst method called RF6 was proposed to solve problems of this type;however, for real complex problems, RF6 can suffer from a combinatorial explosion in the process of restoring rules from a trained neural network. This paper eliminated the above drawback of RF6 by inventing an efficient restoring procedure, where the number of distinct polynomials is reduced by vector quantization with a model selection criterion, and a set of nominal conditions is extracted by decision tree generation. Our experiments using four data sets showed that the new version of RF6, called RF6.2, works well in discovering very succinct interesting laws even from data containing irrelevant variables and a small amount of noise. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | law discovery / neural network / vector quantization / cross-validation / decision tree |
| Paper # | NC2000-44 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2000/7/11(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) | Discovery of Nominally Conditioned Polynomials : RF6.2 Algorithm |
| Sub Title (in English) | |
| Keyword(1) | law discovery |
| Keyword(2) | neural network |
| Keyword(3) | vector quantization |
| Keyword(4) | cross-validation |
| Keyword(5) | decision tree |
| 1st Author's Name | Kazumi Saito |
| 1st Author's Affiliation | NTT Communication Science Labs() |
| 2nd Author's Name | Ryohei Nakano |
| 2nd Author's Affiliation | Nagoya Institute of Technology |
| Date | 2000/7/11 |
| Paper # | NC2000-44 |
| Volume (vol) | vol.100 |
| Number (no) | 191 |
| Page | pp.pp.- |
| #Pages | 8 |
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