Shinto Eguchi

IEEE Trans. Signal Process., 2022

Active Learning by Query by Committee with Robust Divergences.

[BibT_eX]

[DOI]

Hideitsu Hino

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

Entropy, 2021

2020

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

[BibT_eX]

[DOI]

Ecol. Informatics, 2020

2017

Quasi-linear score for capturing heterogeneous structure in biomarkers.

[BibT_eX]

[DOI]

Katsuhiro Omae

BMC Bioinform., 2017

Information Geometry of Predictor Functions in a Regression Model.

[BibT_eX]

[DOI]

Katsuhiro Omae

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

2016

Robust Clustering Method in the Presence of Scattered Observations.

[BibT_eX]

[DOI]

Akifumi Notsu

Neural Comput., 2016

2015

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

[BibT_eX]

[DOI]

Entropy, 2015

Path Connectedness on a Space of Probability Density Functions.

[BibT_eX]

[DOI]

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

2014

Spontaneous Clustering via Minimum Gamma-Divergence.

[BibT_eX]

[DOI]

Akifumi Notsu

Neural Comput., 2014

Duality of Maximum Entropy and Minimum Divergence.

[BibT_eX]

[DOI]

Atsumi Ohara

Entropy, 2014

2013

Density estimation with minimization of U-divergence.

[BibT_eX]

[DOI]

Kanta Naito

Mach. Learn., 2013

Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Atsumi Ohara

Entropy, 2013

Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data.

[BibT_eX]

[DOI]

Mari Pritchard

Comput. Math. Methods Medicine, 2013

Statistical Analysis of Biomarkers for Personalized Medicine.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2013

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

[BibT_eX]

[DOI]

Atsumi Ohara

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

2012

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

[BibT_eX]

[DOI]

Neural Comput., 2012

2011

Boosting Learning Algorithm for Pattern Recognition and Beyond.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2011

Projective Power Entropy and Maximum Tsallis Entropy Distributions.

[BibT_eX]

[DOI]

Shogo Kato

Entropy, 2011

2010

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

[BibT_eX]

[DOI]

Nayeema Sultana

Neural Networks, 2010

Robust QTL analysis by minimum beta-divergence method.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2010

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

[BibT_eX]

[DOI]

Shogo Kato

Entropy, 2010

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

[BibT_eX]

[DOI]

BMC Bioinform., 2010

2009

Robust Kernel Principal Component Analysis.

[BibT_eX]

[DOI]

Su-Yun Huang

Yi-Ren Yeh

Neural Comput., 2009

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

[BibT_eX]

[DOI]

BMC Bioinform., 2009

2008

Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.

[BibT_eX]

[DOI]

Neural Comput., 2008

Boosting Method for Local Learning in Statistical Pattern Recognition.

[BibT_eX]

[DOI]

Masanori Kawakita

Neural Comput., 2008

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Process. Lett., 2007

Robust Loss Functions for Boosting.

[BibT_eX]

[DOI]

Neural Comput., 2007

2006

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

[BibT_eX]

[DOI]

Neural Comput., 2006

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

[BibT_eX]

[DOI]

Tadayoshi Fushiki

Hironori Fujisawa

BMC Bioinform., 2006

2005

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

[BibT_eX]

[DOI]

Ryuei Nishii

IEEE Trans. Geosci. Remote. Sens., 2005

Spatio-temporal contextual image classification based on Spatial AdaBoost.

[BibT_eX]

[DOI]

Ryuei Nishii

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

GroupAdaBoost for Selecting Important Genes.

[BibT_eX]

[DOI]

Masaru Ushijima

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

2004

Robustifying AdaBoost by Adding the Naive Error Rate.

[BibT_eX]

[DOI]

Neural Comput., 2004

Information Geometry of U-Boost and Bregman Divergence.

[BibT_eX]

[DOI]

Neural Comput., 2004

Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters.

[BibT_eX]

[DOI]

Isao Higuchi

J. Mach. Learn. Res., 2004

Genotyping of single nucleotide polymorphism using model-based clustering.

[BibT_eX]

[DOI]

Bioinform., 2004

Supervised image classification based on adaboost with contextual weak classifiers.

[BibT_eX]

[DOI]

Ryuei Nishii

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

The Most Robust Loss Function for Boosting.

[BibT_eX]

[DOI]

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

2002

Robust Blind Source Separation by Beta Divergence.

[BibT_eX]

[DOI]

Neural Comput., 2002

1998

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

[BibT_eX]

[DOI]

Isao Higuchi