| Budget Amount *help |
¥43,030,000 (Direct Cost: ¥33,100,000、Indirect Cost: ¥9,930,000)
Fiscal Year 2019: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2018: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2017: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2016: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2015: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
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| Outline of Final Research Achievements |
We studied effective data analysis methods for complex-structured data such as graph-structured data and human-generated data. In particular, we developed new models and techniques for deep learning for graphs. On the other hand, we developed various methods to integrate human judges to make better decisions on difficult problems that machine intelligence alone cannot solve. We also applied the developed methods to various scientific applications in chemistry, biology, and material science, and showed their promise.
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