Presentation | 2002/5/17 Consideration about Learning from Interpretations in General Clausal Theory Noriaki YAMASAKI, Katumi INOUE, Hiromasa HANEDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the framework of inductive logic programming, learning from interpretations which takes an inter-pretation as an example is proposed. However, a perfect interpretation may not always be given and the truth value to each ground atoms in the Herbrand base may be partially given. Then, in this reserch, we focus on lerning from partial interpretations which takes not only complete interpretations as but partial interpretations as examples. We propose an algotithm of learning from partial interpretations. The proposed algorithm enables us to perform inductive learning under incomplete information. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | inductive logic programming / learning from interpretations / partial interpretations |
Paper # | AI2002-12 |
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Committee | AI |
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Conference Date | 2002/5/17(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Consideration about Learning from Interpretations in General Clausal Theory |
Sub Title (in English) | |
Keyword(1) | inductive logic programming |
Keyword(2) | learning from interpretations |
Keyword(3) | partial interpretations |
1st Author's Name | Noriaki YAMASAKI |
1st Author's Affiliation | Department of Electrical and Electoronics Engineering, Kobe University() |
2nd Author's Name | Katumi INOUE |
2nd Author's Affiliation | Department of Electrical and Electoronics Engineering, Kobe University |
3rd Author's Name | Hiromasa HANEDA |
3rd Author's Affiliation | Department of Electrical and Electoronics Engineering, Kobe University |
Date | 2002/5/17 |
Paper # | AI2002-12 |
Volume (vol) | vol.102 |
Number (no) | 91 |
Page | pp.pp.- |
#Pages | 5 |
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