Shinto Eguchi

According to our database, Shinto Eguchi authored at least 46 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robust minimum divergence estimation in a spatial Poisson point process.

Yusuke Saigusa, Shinto Eguchi, Osamu Komori

Ecol. Informatics, 2024

2022

Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution.

Hung Hung, Su-Yun Huang, Shinto Eguchi

IEEE Trans. Signal Process., 2022

Active Learning by Query by Committee with Robust Divergences.

Hideitsu Hino, Shinto Eguchi

CoRR, 2022

2021

A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average.

Osamu Komori, Shinto Eguchi

Entropy, 2021

2020

Sampling bias correction in species distribution models by quasi-linear Poisson point process.

Osamu Komori, Shinto Eguchi, Yusuke Saigusa, Buntarou Kusumoto, Yasuhiro Kubota

Ecol. Informatics, 2020

2017

Quasi-linear score for capturing heterogeneous structure in biomarkers.

Katsuhiro Omae, Osamu Komori, Shinto Eguchi

BMC Bioinform., 2017

Information Geometry of Predictor Functions in a Regression Model.

Shinto Eguchi, Katsuhiro Omae

Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016

Robust Clustering Method in the Presence of Scattered Observations.

Akifumi Notsu, Shinto Eguchi

Neural Comput., 2016

2015

Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning.

Takashi Takenouchi, Osamu Komori, Shinto Eguchi

Entropy, 2015

Path Connectedness on a Space of Probability Density Functions.

Shinto Eguchi, Osamu Komori

Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014

Spontaneous Clustering via Minimum Gamma-Divergence.

Akifumi Notsu, Osamu Komori, Shinto Eguchi

Neural Comput., 2014

Duality of Maximum Entropy and Minimum Divergence.

Shinto Eguchi, Osamu Komori, Atsumi Ohara

Entropy, 2014

2013

Density estimation with minimization of U-divergence.

Kanta Naito, Shinto Eguchi

Mach. Learn., 2013

Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation.

Pengwen Chen, Hung Hung, Osamu Komori, Su-Yun Huang, Shinto Eguchi

IEEE J. Sel. Top. Signal Process., 2013

Group Invariance of Information Geometry on <i>q</i>-Gaussian Distributions Induced by Beta-Divergence.

Atsumi Ohara, Shinto Eguchi

Entropy, 2013

Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data.

Osamu Komori, Mari Pritchard, Shinto Eguchi

Comput. Math. Methods Medicine, 2013

Statistical Analysis of Biomarkers for Personalized Medicine.

Shinto Eguchi, Shigeyuki Matsui, Su-Yun Huang, Chuhsing Kate Hsiao

Comput. Math. Methods Medicine, 2013

Geometry on Positive Definite Matrices Induced from V-Potential Function.

Atsumi Ohara, Shinto Eguchi

Proceedings of the Geometric Science of Information - First International Conference, 2013

2012

An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification.

Takashi Takenouchi, Osamu Komori, Shinto Eguchi

Neural Comput., 2012

2011

Boosting Learning Algorithm for Pattern Recognition and Beyond.

Osamu Komori, Shinto Eguchi

IEICE Trans. Inf. Syst., 2011

Projective Power Entropy and Maximum Tsallis Entropy Distributions.

Shinto Eguchi, Osamu Komori, Shogo Kato

Entropy, 2011

2010

Robust extraction of local structures by the minimum beta-divergence method.

Md. Nurul Haque Mollah, Nayeema Sultana, Mihoko Minami, Shinto Eguchi

Neural Networks, 2010

Robust QTL analysis by minimum beta-divergence method.

Md. Nurul Haque Mollah, Shinto Eguchi

Int. J. Data Min. Bioinform., 2010

Entropy and Divergence Associated with Power Function and the Statistical Application.

Shinto Eguchi, Shogo Kato

Entropy, 2010

A boosting method for maximizing the partial area under the ROC curve.

Osamu Komori, Shinto Eguchi

BMC Bioinform., 2010

2009

Robust Kernel Principal Component Analysis.

Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi

Neural Comput., 2009

SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip.

Hironori Fujisawa, Youko Horiuchi, Yoshiaki Harushima, Toyoyuki Takada, Shinto Eguchi, Takako Mochizuki, Takayuki Sakaguchi, Toshihiko Shiroishi, Nori Kurata

BMC Bioinform., 2009

2008

Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.

Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori

Neural Comput., 2008

Boosting Method for Local Learning in Statistical Pattern Recognition.

Masanori Kawakita, Shinto Eguchi

Neural Comput., 2008

Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method.

Md. Nurul Haque Mollah, Shinto Eguchi

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007

Robust Prewhitening for ICA by Minimizing <i>beta</i>-Divergence and Its Application to FastICA.

Md. Nurul Haque Mollah, Shinto Eguchi, Mihoko Minami

Neural Process. Lett., 2007

Robust Loss Functions for Boosting.

Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata

Neural Comput., 2007

GroupAdaBoost: Accurate Prediction and Selection of Important Genes.

Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi

Inf. Media Technol., 2007

2006

Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method.

Md. Nurul Haque Mollah, Mihoko Minami, Shinto Eguchi

Neural Comput., 2006

Identification of biomarkers from mass spectrometry data using a "common" peak approach.

Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi

BMC Bioinform., 2006

2005

Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods.

Ryuei Nishii, Shinto Eguchi

IEEE Trans. Geosci. Remote. Sens., 2005

Spatio-temporal contextual image classification based on Spatial AdaBoost.

Ryuei Nishii, Shinto Eguchi

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

GroupAdaBoost for Selecting Important Genes.

Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi

Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004

Robustifying AdaBoost by Adding the Naive Error Rate.

Takashi Takenouchi, Shinto Eguchi

Neural Comput., 2004

Information Geometry of U-Boost and Bregman Divergence.

Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi

Neural Comput., 2004

Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters.

Isao Higuchi, Shinto Eguchi

J. Mach. Learn. Res., 2004

Genotyping of single nucleotide polymorphism using model-based clustering.

Hironori Fujisawa, Shinto Eguchi, Masaru Ushijima, Satoshi Miyata, Yoshio Miki, T. Muto, Masaaki Matsuura

Bioinform., 2004

Supervised image classification based on adaboost with contextual weak classifiers.

Ryuei Nishii, Shinto Eguchi

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

The Most Robust Loss Function for Boosting.

Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2002

Robust Blind Source Separation by Beta Divergence.

Mihoko Minami, Shinto Eguchi

Neural Comput., 2002

1998

The Influence Function of Principal Component Analysis by Self-Organizing Rule.

Isao Higuchi, Shinto Eguchi

Neural Comput., 1998