| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Outline of Final Research Achievements |
Regression analysis is a method to extract a hidden model from a large number of observations (samples). In this research, we concentrated on constructing algorithms for feature selection (variable selection) problems. Our algorithms are based on mathematical programming, which aims getting true optimal solutions. We have developed several integer-programming based algorithms, and have shown that the proposed algorithms produced better solutions than ones given by heuristics algorithms of previous researches.
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