| Presentation | 1997/5/22 Concept Learning Using Genetic Algorithm Ryutaro ICHISE, Masayuki NUMAO, |
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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 concept learning based on first order logic. There are two frameworks of concept learning - Inductive Logic Programming and Genetic Programming. The main idea of our work is integration of the two systems. We propose to merge mode and type declarations of Inductive Logic Programming with the search method of Genetic Programming, called Genetic Algorithm. It is possible for our system to learn a concept not only from positive and negative training examples but also from training examples having continuous values. Abilities of our system are shown by experimental results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine Learning / Multistrategy Learning / Inductive Logic Programming / Genetic Algorithm |
| Paper # | AI97-11 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 1997/5/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Concept Learning Using Genetic Algorithm |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | Multistrategy Learning |
| Keyword(3) | Inductive Logic Programming |
| Keyword(4) | Genetic Algorithm |
| 1st Author's Name | Ryutaro ICHISE |
| 1st Author's Affiliation | Graduate School of Information Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Masayuki NUMAO |
| 2nd Author's Affiliation | Graduate School of Information Science and Engineering, Tokyo Institute of Technology |
| Date | 1997/5/22 |
| Paper # | AI97-11 |
| Volume (vol) | vol.97 |
| Number (no) | 63 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |