| Budget Amount *help |
¥17,680,000 (Direct Cost: ¥13,600,000、Indirect Cost: ¥4,080,000)
Fiscal Year 2014: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2012: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
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| Outline of Final Research Achievements |
Building on the latest findings in link analysis and machine learning, this research project developed and characterized various similarity measures for high-dimensional or structured data. In particular, our main focus was to investigate the influence of hubs, which can be observed both in vector space and on graph data. We proposed several techniques to reduce the emergence of hubs. The effectiveness of these techniques was evaluated on natural language processing tasks, in which the data is known to be extremely high-dimensional.
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