Establishment of Statistical Estimation Principle for Super HighDimensional Data and Its Application to Large Scale Data Mining
Project/Area Number |
22300054
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Osaka University |
Principal Investigator |
WASHIO Takashi 大阪大学, 産業科学研究所, 教授 (00192815)
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Co-Investigator(Renkei-kenkyūsha) |
HIGUCHI Tomoyuki 統計数理研究所, モデリング研究系, 教授 (70202273)
INOKUCHI Akihiro 大阪大学, 産業科学研究所, 助教 (70452456)
KAWAHARA Yoshinobu 大阪大学, 産業科学研究所, 助教 (00514796)
SHIMIZU Shohei 大阪大学, 産業科学研究所, 助教 (10509871)
NAKANO Shinya 統計数理研究所, モデリング研究系, 助教 (40378576)
|
Project Period (FY) |
2010 – 2012
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Project Status |
Completed (Fiscal Year 2012)
|
Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2012: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2011: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2010: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
|
Keywords | 知能発見 / データマイニング / 統計的推定 / 超高次元データ / ビッグデータ / 高次元データ / 次元の呪い / 粒子フィルタ / 統計数理 / 確率密度関数 / データ分布 |
Research Abstract |
Upon analysis of dimensionality curse, we characterized “hyper-sphere concentration effect”, “probability concentration effect” and “sparsity effect”of super high dimensional data, and proposed an accurate and robust estimation method against the former two effects.
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Report
(4 results)
Research Products
(44 results)
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[Presentation] 重み付き最尤推定に基づく方策探索法2012
Author(s)
植野 剛, 林 浩平, 鷲尾 隆, 河原吉伸
Organizer
第15回情報論的学習理論ワークショップ(IBIS2012)予原稿集, 電子情報通信学会技術研究報告, Vol.112, No.279, pp.165-170
Place of Presentation
東京都文京区
Related Report
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[Presentation] Density Estimation based on Mass2011
Author(s)
Kai Ming Ting, Takashi Washio, Jonathan Wells, Tony Liu
Organizer
ICDM2011 : The IEEE International Conference on Data Mining 2011
Place of Presentation
Vancouver, Canada
Year and Date
2011-12-12
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