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Shinto Eguchi
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2020 – today
- 2024
- [j37]Yusuke Saigusa, Shinto Eguchi, Osamu Komori:
Robust minimum divergence estimation in a spatial Poisson point process. Ecol. Informatics 81: 102569 (2024) - [i2]Zhi-Yu Jou, Su-Yun Huang, Hung Hung, Shinto Eguchi:
A Generalized Mean Approach for Distributed-PCA. CoRR abs/2410.00397 (2024) - 2022
- [j36]Hung Hung
, Su-Yun Huang
Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution. IEEE Trans. Signal Process. 70: 5885-5897 (2022) - [i1]Hideitsu Hino, Shinto Eguchi:
Active Learning by Query by Committee with Robust Divergences. CoRR abs/2211.10013 (2022) - 2021
- [j35]Osamu Komori
A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average. Entropy 23(5): 518 (2021) - 2020
- [j34]Osamu Komori, Shinto Eguchi, Yusuke Saigusa, Buntarou Kusumoto
Sampling bias correction in species distribution models by quasi-linear Poisson point process. Ecol. Informatics 55 (2020)
2010 – 2019
- 2017
- [j33]Katsuhiro Omae, Osamu Komori, Shinto Eguchi
Quasi-linear score for capturing heterogeneous structure in biomarkers. BMC Bioinform. 18(1): 308 (2017) - [c8]Shinto Eguchi
Information Geometry of Predictor Functions in a Regression Model. GSI 2017: 561-568 - 2016
- [j32]Akifumi Notsu, Shinto Eguchi
Robust Clustering Method in the Presence of Scattered Observations. Neural Comput. 28(6): 1141-1162 (2016) - 2015
- [j31]Takashi Takenouchi, Osamu Komori, Shinto Eguchi
Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning. Entropy 17(8): 5673-5694 (2015) - [c7]Shinto Eguchi
Path Connectedness on a Space of Probability Density Functions. GSI 2015: 615-624 - 2014
- [j30]Shinto Eguchi
Duality of Maximum Entropy and Minimum Divergence. Entropy 16(7): 3552-3572 (2014) - [j29]Akifumi Notsu, Osamu Komori, Shinto Eguchi
Spontaneous Clustering via Minimum Gamma-Divergence. Neural Comput. 26(2): 421-448 (2014) - 2013
- [j28]Shinto Eguchi
Statistical Analysis of Biomarkers for Personalized Medicine. Comput. Math. Methods Medicine 2013: 467420:1-467420:2 (2013) - [j27]Osamu Komori
Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data. Comput. Math. Methods Medicine 2013: 798189:1-798189:14 (2013) - [j26]Atsumi Ohara, Shinto Eguchi
Group Invariance of Information Geometry on q-Gaussian Distributions Induced by Beta-Divergence. Entropy 15(11): 4732-4747 (2013) - [j25]Pengwen Chen
Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation. IEEE J. Sel. Top. Signal Process. 7(4): 614-624 (2013) - [j24]Kanta Naito, Shinto Eguchi
Density estimation with minimization of U-divergence. Mach. Learn. 90(1): 29-57 (2013) - [c6]Atsumi Ohara, Shinto Eguchi
Geometry on Positive Definite Matrices Induced from V-Potential Function. GSI 2013: 621-629 - 2012
- [j23]Takashi Takenouchi, Osamu Komori, Shinto Eguchi
An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification. Neural Comput. 24(10): 2789-2824 (2012) - 2011
- [j22]Shinto Eguchi
Projective Power Entropy and Maximum Tsallis Entropy Distributions. Entropy 13(10): 1746-1764 (2011) - [j21]Osamu Komori, Shinto Eguchi
Boosting Learning Algorithm for Pattern Recognition and Beyond. IEICE Trans. Inf. Syst. 94-D(10): 1863-1869 (2011) - 2010
- [j20]Osamu Komori, Shinto Eguchi
A boosting method for maximizing the partial area under the ROC curve. BMC Bioinform. 11: 314 (2010) - [j19]Shinto Eguchi
Entropy and Divergence Associated with Power Function and the Statistical Application. Entropy 12(2): 262-274 (2010) - [j18]Md. Nurul Haque Mollah, Shinto Eguchi
Robust QTL analysis by minimum beta-divergence method. Int. J. Data Min. Bioinform. 4(4): 471-485 (2010) - [j17]Md. Nurul Haque Mollah, Nayeema Sultana, Mihoko Minami, Shinto Eguchi
Robust extraction of local structures by the minimum beta-divergence method. Neural Networks 23(2): 226-238 (2010)
2000 – 2009
- 2009
- [j16]Hironori Fujisawa, Youko Horiuchi, Yoshiaki Harushima, Toyoyuki Takada, Shinto Eguchi
SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. BMC Bioinform. 10 (2009) - [j15]Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi
Robust Kernel Principal Component Analysis. Neural Comput. 21(11): 3179-3213 (2009) - 2008
- [j14]Takashi Takenouchi, Shinto Eguchi
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Comput. 20(6): 1596-1630 (2008) - [j13]Masanori Kawakita, Shinto Eguchi
Boosting Method for Local Learning in Statistical Pattern Recognition. Neural Comput. 20(11): 2792-2838 (2008) - [c5]Md. Nurul Haque Mollah, Shinto Eguchi
Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method. BIBM 2008: 115-120 - 2007
- [j12]Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi:
GroupAdaBoost: Accurate Prediction and Selection of Important Genes. Inf. Media Technol. 2(2): 506-513 (2007) - [j11]Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi
Robust Loss Functions for Boosting. Neural Comput. 19(8): 2183-2244 (2007) - [j10]Md. Nurul Haque Mollah, Shinto Eguchi
Robust Prewhitening for ICA by Minimizing beta-Divergence and Its Application to FastICA. Neural Process. Lett. 25(2): 91-110 (2007) - 2006
- [j9]Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi
Identification of biomarkers from mass spectrometry data using a "common" peak approach. BMC Bioinform. 7: 358 (2006) - [j8]Md. Nurul Haque Mollah, Mihoko Minami, Shinto Eguchi
Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method. Neural Comput. 18(1): 166-190 (2006) - 2005
- [j7]Ryuei Nishii, Shinto Eguchi
Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods. IEEE Trans. Geosci. Remote. Sens. 43(11): 2547-2554 (2005) - [c4]Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi
GroupAdaBoost for Selecting Important Genes. BIBE 2005: 218-221 - [c3]Ryuei Nishii, Shinto Eguchi
Spatio-temporal contextual image classification based on Spatial AdaBoost. IGARSS 2005: 4 - 2004
- [j6]Hironori Fujisawa, Shinto Eguchi
Genotyping of single nucleotide polymorphism using model-based clustering. Bioinform. 20(5): 718-726 (2004) - [j5]Isao Higuchi, Shinto Eguchi:
Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters. J. Mach. Learn. Res. 5: 453-471 (2004) - [j4]Takashi Takenouchi, Shinto Eguchi
Robustifying AdaBoost by Adding the Naive Error Rate. Neural Comput. 16(4): 767-787 (2004) - [j3]Noboru Murata
Information Geometry of U-Boost and Bregman Divergence. Neural Comput. 16(7): 1437-1481 (2004) - [c2]Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
The Most Robust Loss Function for Boosting. ICONIP 2004: 496-501 - [c1]Ryuei Nishii, Shinto Eguchi:
Supervised image classification based on adaboost with contextual weak classifiers. IGARSS 2004: 1467-1470 - 2002
- [j2]Mihoko Minami, Shinto Eguchi
Robust Blind Source Separation by Beta Divergence. Neural Comput. 14(8): 1859-1886 (2002)
1990 – 1999
- 1998
- [j1]Isao Higuchi, Shinto Eguchi
The Influence Function of Principal Component Analysis by Self-Organizing Rule. Neural Comput. 10(6): 1435-1444 (1998)
Coauthor Index
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