| Presentation | 2006-06-16 A Method of Data Classification of Bagging Using HRGA/P and Its Applications Hong ZHANG, Masumi ISHIKAWA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To obtain a classification model with high generalization ability, we propose to use a hybrid real-coded genetic algorithm with pruning (HRGA/P) as a method of machine learning which estimates classification rules in Bagging of ensemble learning. For confirming the effectiveness of the proposed method which executes HRGA/P in parallel for learning data sets generated independentlly, simulation experiments on wines classification are carried out. We show the results of the generalization performance of obtained classification models, and evaluate the performance of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ensemble learning / hybrid real-coded genetic algorithms / pattern classification / generalization ability |
| Paper # | NC2006-25 |
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| Committee | NC |
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| Conference Date | 2006/6/9(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) | A Method of Data Classification of Bagging Using HRGA/P and Its Applications |
| Sub Title (in English) | |
| Keyword(1) | ensemble learning |
| Keyword(2) | hybrid real-coded genetic algorithms |
| Keyword(3) | pattern classification |
| Keyword(4) | generalization ability |
| 1st Author's Name | Hong ZHANG |
| 1st Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology() |
| 2nd Author's Name | Masumi ISHIKAWA |
| 2nd Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology |
| Date | 2006-06-16 |
| Paper # | NC2006-25 |
| Volume (vol) | vol.106 |
| Number (no) | 102 |
| Page | pp.pp.- |
| #Pages | 6 |
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