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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]