Analysis of Learning Machines with Information Geometry and Information Theory
Project/Area Number |
18300078
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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 |
Sensitivity informatics/Soft computing
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Research Institution | Nara Institute of Science and Technology (2008-2009) Kyoto University (2006-2007) |
Principal Investigator |
IKEDA Kazushi (IKEDA Ikeda) Nara Institute of Science and Technology, 情報科学研究科, 教授 (10262552)
|
Co-Investigator(Kenkyū-buntansha) |
IWATA Kazunori 広島市立大学, 情報科学研究科, 助教 (20405492)
|
Project Period (FY) |
2006 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥13,810,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥2,310,000)
Fiscal Year 2009: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2008: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2007: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2006: ¥3,800,000 (Direct Cost: ¥3,800,000)
|
Keywords | 機械学習 / 情報幾何学 / 情報理論 / 神経情報処理 / パターン認識 / 形状記述子 / 形状認識 / Shape Context / 学習理論 / 確率過程 / SVM / 階層クラスタ分析 / 非類似度 / 混合モデル |
Research Abstract |
We analyzed some learning machines such as support vector machines from the geometrical viewpoint. As results, we proposed a low-complexity SVM with theoretical background and give an analysis to dual-structured learning machines and self-organizing map. Information theory, on the other hand, revealed convergence properties of reinforcement learning and is applied to pattern recognition problems such as dissimilarity. Machine learning methods are also applied to human modeling such as drivers assist systems.
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Report
(6 results)
Research Products
(86 results)
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[Presentation] 階層隠れCRFの提案2007
Author(s)
杉浦 玄朗, 林 朗, 後藤 直人, 末松 伸朗, 岩田 一貴
Organizer
第6回情報科学技術フォーラム
Place of Presentation
豊田市
Year and Date
2007-09-05
Related Report
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