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Shinto Eguchi

Showing results (1-10 of 34) with videos related to

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BMC Bioinformatics|June 12, 2010
A boosting method for maximizing the partial area under the ROC curveOsamu Komori, Shinto Eguchi
Neural Computation|March 18, 2004
Robustifying AdaBoost by adding the naive error rateTakashi Takenouchi, Shinto Eguchi
Entropy (Basel, Switzerland)|April 30, 2021
A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo AverageOsamu Komori, Shinto Eguchi
Neural Computation|August 16, 2002
Robust blind source separation by beta divergenceMinami Mihoko, Shinto Eguchi
Biometrics|July 14, 2005
Modeling late entry bias in survival analysisMasaaki Matsuura, Shinto Eguchi
Neural Computation|June 7, 2008
Boosting method for local learning in statistical pattern recognitionMasanori Kawakita, Shinto Eguchi
Neural Computation|March 5, 2016
Robust Clustering Method in the Presence of Scattered ObservationsAkifumi Notsu, Shinto Eguchi
BMC Medical Research Methodology|July 8, 2020
Quasi-linear Cox proportional hazards model with cross- L<sub>1</sub> penaltyKatsuhiro Omae, Shinto Eguchi
Statistics in Medicine|March 13, 2019
The power-integrated discriminant improvement: An accurate measure of the incremental predictive value of additional biomarkersKenichi Hayashi, Shinto Eguchi
BMC Medical Genomics|August 20, 2016
Reproducible detection of disease-associated markers from gene expression dataKatsuhiro Omae, Osamu Komori, Shinto Eguchi
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
BMC Bioinformatics|June 12, 2010
A boosting method for maximizing the partial area under the ROC curveOsamu Komori, Shinto Eguchi
Neural Computation|March 18, 2004
Robustifying AdaBoost by adding the naive error rateTakashi Takenouchi, Shinto Eguchi
Entropy (Basel, Switzerland)|April 30, 2021
A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo AverageOsamu Komori, Shinto Eguchi
Neural Computation|August 16, 2002
Robust blind source separation by beta divergenceMinami Mihoko, Shinto Eguchi
Biometrics|July 14, 2005
Modeling late entry bias in survival analysisMasaaki Matsuura, Shinto Eguchi
Neural Computation|June 7, 2008
Boosting method for local learning in statistical pattern recognitionMasanori Kawakita, Shinto Eguchi
Neural Computation|March 5, 2016
Robust Clustering Method in the Presence of Scattered ObservationsAkifumi Notsu, Shinto Eguchi
BMC Medical Research Methodology|July 8, 2020
Quasi-linear Cox proportional hazards model with cross- L<sub>1</sub> penaltyKatsuhiro Omae, Shinto Eguchi
Statistics in Medicine|March 13, 2019
The power-integrated discriminant improvement: An accurate measure of the incremental predictive value of additional biomarkersKenichi Hayashi, Shinto Eguchi
BMC Medical Genomics|August 20, 2016
Reproducible detection of disease-associated markers from gene expression dataKatsuhiro Omae, Osamu Komori, Shinto Eguchi
Pageof 4