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Shinto Eguchi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi
    GroupAdaBoost for Selecting Important Genes. [Citation Graph (0, 0)][DBLP]
    BIBE, 2005, pp:218-221 [Conf]
  2. Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
    The Most Robust Loss Function for Boosting. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:496-501 [Conf]
  3. Isao Higuchi, Shinto Eguchi
    Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:453-471 [Journal]
  4. Isao Higuchi, Shinto Eguchi
    The Influence Function of Principal Component Analysis by Self-Organizing Rule. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:6, pp:1435-1444 [Journal]
  5. Mihoko Minami, Shinto Eguchi
    Robust Blind Source Separation by Beta Divergence. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:8, pp:1859-1886 [Journal]
  6. Md. Nurul Haque Mollah, Mihoko Minami, Shinto Eguchi
    Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:1, pp:166-190 [Journal]
  7. Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi
    Information Geometry of U-Boost and Bregman Divergence. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:7, pp:1437-1481 [Journal]
  8. Takashi Takenouchi, Shinto Eguchi
    Robustifying AdaBoost by Adding the Naive Error Rate. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:4, pp:767-787 [Journal]
  9. Md. Nurul Haque Mollah, Shinto Eguchi, Mihoko Minami
    Robust Prewhitening for ICA by Minimizing beta-Divergence and Its Application to FastICA. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2007, v:25, n:2, pp:91-110 [Journal]

  10. Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method. [Citation Graph (, )][DBLP]

  11. SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. [Citation Graph (, )][DBLP]

  12. Identification of biomarkers from mass spectrometry data using a "common" peak approach. [Citation Graph (, )][DBLP]

  13. A boosting method for maximizing the partial area under the ROC curve. [Citation Graph (, )][DBLP]

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