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Minami Mihoko
Shinto Eguchi

Neural computation

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

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Neural Computation|August 16, 2002
Robust blind source separation by beta divergenceMinami Mihoko, Shinto Eguchi
Neural Computation|March 18, 2004
Robustifying AdaBoost by adding the naive error rateTakashi Takenouchi, 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
Neural Computation|November 12, 2013
Spontaneous clustering via minimum γ-divergenceAkifumi Notsu, Osamu Komori, Shinto Eguchi
Neural Computation|June 28, 2012
An extension of the receiver operating characteristic curve and AUC-optimal classificationTakashi Takenouchi, Osamu Komori, Shinto Eguchi
Neural Computation|January 16, 2008
Robust boosting algorithm against mislabeling in multiclass problemsTakashi Takenouchi, Shinto Eguchi, Noboru Murata, et al.
Neural Computation|May 29, 2004
Information geometry of U-Boost and Bregman divergenceNoboru Murata, Takashi Takenouchi, Takafumi Kanamori, et al.
Neural Computation|June 19, 2007
Robust loss functions for boostingTakafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, et al.
Neural Computation|August 19, 2009
Robust kernel principal component analysisSu-Yun Huang, Yi-Ren Yeh, Shinto Eguchi
Pageof 1

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

Sort By:
Pageof 1
Neural Computation|August 16, 2002
Robust blind source separation by beta divergenceMinami Mihoko, Shinto Eguchi
Neural Computation|March 18, 2004
Robustifying AdaBoost by adding the naive error rateTakashi Takenouchi, 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
Neural Computation|November 12, 2013
Spontaneous clustering via minimum γ-divergenceAkifumi Notsu, Osamu Komori, Shinto Eguchi
Neural Computation|June 28, 2012
An extension of the receiver operating characteristic curve and AUC-optimal classificationTakashi Takenouchi, Osamu Komori, Shinto Eguchi
Neural Computation|January 16, 2008
Robust boosting algorithm against mislabeling in multiclass problemsTakashi Takenouchi, Shinto Eguchi, Noboru Murata, et al.
Neural Computation|May 29, 2004
Information geometry of U-Boost and Bregman divergenceNoboru Murata, Takashi Takenouchi, Takafumi Kanamori, et al.
Neural Computation|June 19, 2007
Robust loss functions for boostingTakafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, et al.
Neural Computation|August 19, 2009
Robust kernel principal component analysisSu-Yun Huang, Yi-Ren Yeh, Shinto Eguchi
Pageof 1