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2003 Fiscal Year Final Research Report Summary

Fusion of Statistics, Neural-Net, Machine Learning

Research Project

Project/Area Number 13480071
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Statistical science
Research InstitutionThe Institute of Statistical Mathematics

Principal Investigator

EGUCHI Shinto  Inst.Statistical Mathematics, Dept.of Fundamental Statistical Theory, Professor, 統計基礎研究系, 教授 (10168776)

Co-Investigator(Kenkyū-buntansha) KANAMORI Takafumi  Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Assistant Professor, 大学院・数理・計算科学専攻, 助手 (60334546)
FUJISAWA Hironori  The Institute of Statistical Mathematics, Dept.of Interdisciplinary Statistics, Associate Professor, 領域統計研究系, 助教授 (00301177)
MINAMI Mihoko  The Institute of Statistical Mathematics, Dept.of Fundamental Statistical Theory, Associate Professor, 統計基礎研究系, 助教授 (70277268)
MATSUURA Masaaki  Japanese Foundation for Cancer Research, Chief Directer, ゲノムセンター, 部門長 (40173794)
MURATA Noboru  Waseda University, Dept.of Electrical Engineering and Bioscience, Associate Professor, 理工学部, 助教授 (60242038)
Project Period (FY) 2001 – 2003
Keywordsbioinformatics / SNP haplotyping / gene expression data / AdaBoost / independent component analysis / self-organizing PCA / Proteome / functional data analysis
Research Abstract

1.Challenging bioinformatics
Our research group results to succeed the project for SNP (Single Nucleotide Polymorphism) typing with co-operative work with the genome center in Research Institute of Cancer Study. The paper has published in the journal of 'Bioinformatics' in 2004 and the portion of the work has applied to Japan Patent Office. Presently the next project of SNP haplotype blocking is promising and will attain the result in a near future.
In this research collaboration we have a monthly research meeting, in which the investigation for proteome date is now made a rapid progress. In November, 2003 Professor P.K. Sen at North Carolina State University gave a lecture on bioinformatics and nonparametric method, which was organized by our research group.
2.Statistical theory and Boost algorithm
In these three years a monthly research meeting has been organized on Saturday in which Dr Murata, Dr Kanainori, Dr Takenouchi and Dr Eguchi has establish statistical understanding and several variants alternative to AdaBoost. Their two papers has published in a journal of 'Neural Computation' in 2004.
3.Independent component analysis and principal component analysis
The fourth International conference on ICA had held at Nara Conference center in 2003, in which Dr Murata, Dr Minami and Dr Eguchi worked as organizing committee. The work on self-organizing PCA has published in J.Machine Learning Research.

  • Research Products

    (10 results)

All Other

All Publications (10 results)

  • [Publications] Murata, N., Takenouchi, T., Kanamori, T., Eguchi, S.: "Information geometry of U-Boost and Bregman divergence."Neural Computation. 16. 1437-1481 (2004)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] H.Fujisawa, S.Eguchi, M.Ushijima, S.Miyata, Y.Miki, T.Muto, M.Matsuura: "Genotyping of single nucleotide polymorphism using model-based clustering."Bioinformatics. 20. 718-726 (2004)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] T.Takenouchi, S.Eguchi: "Robustifying AdaBoost by adding the naive error rate."Neural Computation. 16. 767-787 (2004)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] M.Minami, S.Eguchi: "Robust blind source separation by beta-divergence."Neural Computation. 14. 1859-1886 (2002)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] S.Eguchi, J.Copas: "A class of logistic-type discriminant functions."Biometrika. 89. 1-22 (2002)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Murata, N., Takenouchi, T., Kanamori, T., Eguchi, S.: "Information geometry of U-Boost and Bregman divergence."Neural Computation. 16. 1437-1481 (2004)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] H.Fujisawa, S.Eguchi, M.Ushijima, S.Miyata, Y.Miki, T.Muto, M.Matsuura: "Genotyping of single nucleotide polymorphism using model-based clustering."Bioinformatics. 20. 718-726 (2004)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] T.Takenouchi, S.Eguchi: "Robustifying AdaBoost by adding the naive error rate."Neural Computation. 16. 767-787 (2004)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] M.Minami, S.Eguchi: "Robust blind source separation by beta-divergence."Neural Computation. 14. 1859-1886 (2002)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] S.Eguchi, J.Copas: "A class of logistic-type discriminant functions."Biometrika. 89. 1-22 (2002)

    • Description
      「研究成果報告書概要(欧文)」より

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Published: 2005-04-19  

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