2010 Fiscal Year Final Research Report
Learning and discovering knowledge for Structured data by kernel function based on intention
| Project/Area Number |
20700135
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Kyoto University |
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Principal Investigator |
DOI Koichiro Kyoto University, 大学院・新領域創成科学研究科, 特任講師 (10345126)
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| Project Period (FY) |
2008 – 2010
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| Keywords | 機械学習 / カーネル関数 |
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| Research Abstract |
Learning by using kernel functions has been actively researched. This study applies intentional kernel function to RNA sequence or other real data. We present a new method for finding frequent patterns from tree structured data in the case of rooted ordered tree and rooted unordered tree. We made experiments of our proposed method with some semi-structured data and show efficiency of our method.
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