| Co-Investigator(Renkei-kenkyūsha) |
Takigawa Ichigaku 北海道大学, 情報科学研究科, 准教授 (10374597)
Hancock Timothy 京都大学, 化学研究所, 助教 (80600709)
Shiga Motoki 岐阜大学, 工学部, 助教 (20437263)
Tsuda Koji 東京大学, 新領域創成科学研究科, 教授 (90357517)
Kayano Mitsunori 帯広畜産大学, グローバルアグロメディシン研究センター, 講師 (20590095)
Nguyen Canh Hao 京都大学, 化学研究所, 助教 (90626889)
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| Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2014: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2013: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2012: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
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| Outline of Final Research Achievements |
The objective of this research is to build machine learning solutions for a variety of problems of semi-structured data, particularly graphs and networks. Particular problem focus was "label propagation" and "link prediction". We have not only built machine learning techniques but also applied our technique to real data, particularly those in life sciences.
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