| Presentation | 2003/9/9 Distance-based Heuristics in Inductive Logic Programming for Mining from Chemical Compound Data Cholwich NATTEE, Sukree SINTHUPINYO, Masayuki NUMAO, Takashi OKADA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose an approach for malting FOIL better handling multiple-instance data. This learning problem arises when trying to generate hypotheses from examples in the form of positive and negative bags. Each bag contains one or more instances and a bag is labelled as positive when there is at least one positive instance, otherwise, it is labelled as negative. Several algorithms have been proposed for learning in this framework. However all of them can only handle data in the attribute-value form which has limitations in knowledge representation. Therefore, it is difficult to handle examples consisting of structures among components, such as chemical compounds data. In this paper, the Diverse Density, a measure for multiple-instance data, is applied to adapt the heuristic function in FOIL in order to improve learning accuracy in multiple-instance data. We conducts the experiments on real-world data related to chemical compound analysis in order to show the improvement. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Inductive Logic Programming / Multiple-Instance Learning |
| Paper # | AI2003-59 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2003/9/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Distance-based Heuristics in Inductive Logic Programming for Mining from Chemical Compound Data |
| Sub Title (in English) | |
| Keyword(1) | Inductive Logic Programming |
| Keyword(2) | Multiple-Instance Learning |
| 1st Author's Name | Cholwich NATTEE |
| 1st Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University() |
| 2nd Author's Name | Sukree SINTHUPINYO |
| 2nd Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University |
| 3rd Author's Name | Masayuki NUMAO |
| 3rd Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University |
| 4th Author's Name | Takashi OKADA |
| 4th Author's Affiliation | Center for Information & Media Studies, Kwansei Gakuin University |
| Date | 2003/9/9 |
| Paper # | AI2003-59 |
| Volume (vol) | vol.103 |
| Number (no) | 306 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |