A study on optimizing graphs for machine learning algorithms
| Project/Area Number |
24800036
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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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 |
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| Project Period (FY) |
2012-08-31 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 機械学習 / グラフ / バイオインフォマティクス / 半教師付き学習 |
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| Research Abstract |
A variety types of network data have been attracted wide attention, such as protein interaction network in biology and link relationships in social networks. This research has studied statistical algorithms to analyze these network data, which can be represented as ``graph'', and developed highly accurate methods for prediction problem on graphs compared to existing approaches.
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Report
(3 results)
Research Products
(7 results)
