Information Geometry of U-Boost and Bregman Divergence

JOURNAL ARTICLE published 1 July 2004 in Neural Computation

Authors: Noboru Murata | Takashi Takenouchi | Takafumi Kanamori | Shinto Eguchi

Robust Loss Functions for Boosting

JOURNAL ARTICLE published August 2007 in Neural Computation

Authors: Takafumi Kanamori | Takashi Takenouchi | Shinto Eguchi | Noboru Murata

Robust Boosting Algorithm Against Mislabeling in Multiclass Problems

JOURNAL ARTICLE published June 2008 in Neural Computation

Authors: Takashi Takenouchi | Shinto Eguchi | Noboru Murata | Takafumi Kanamori

The Most Robust Loss Function for Boosting

BOOK CHAPTER published 2004 in Neural Information Processing

Authors: Takafumi Kanamori | Takashi Takenouchi | Shinto Eguchi | Noboru Murata

Robustifying AdaBoost by Adding the Naive Error Rate

JOURNAL ARTICLE published 1 April 2004 in Neural Computation

Authors: Takashi Takenouchi | Shinto Eguchi

Graph-based composite local Bregman divergences on discrete sample spaces

JOURNAL ARTICLE published November 2017 in Neural Networks

Research funded by JSPS (15H01678,16K00044,25730018,16K00051)

Authors: Takafumi Kanamori | Takashi Takenouchi

Stochastic Reasoning, Free Energy, and Information Geometry

JOURNAL ARTICLE published 1 September 2004 in Neural Computation

Authors: Shiro Ikeda | Toshiyuki Tanaka | Shun-ichi Amari

Divergence Function, Duality, and Convex Analysis

JOURNAL ARTICLE published 1 January 2004 in Neural Computation

Authors: Jun Zhang

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

JOURNAL ARTICLE published October 2012 in Neural Computation

Authors: Takashi Takenouchi | Osamu Komori | Shinto Eguchi

Robust Blind Source Separation by Beta Divergence

JOURNAL ARTICLE published 1 August 2002 in Neural Computation

Authors: Minami Mihoko | Shinto Eguchi

Spontaneous Clustering via Minimum Gamma-Divergence

JOURNAL ARTICLE published February 2014 in Neural Computation

Authors: Akifumi Notsu | Osamu Komori | Shinto Eguchi

Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC

JOURNAL ARTICLE published 1 February 2004 in Neural Computation

Authors: Hyeyoung Park | Noboru Murata | Shun-ichi Amari

Investigation of Possible Neural Architectures Underlying Information-Geometric Measures

JOURNAL ARTICLE published 1 April 2004 in Neural Computation

Authors: Masami Tatsuno | Masato Okada

How Many Clusters? An Information-Theoretic Perspective

JOURNAL ARTICLE published 1 December 2004 in Neural Computation

Authors: Susanne Still | William Bialek

Enhancement of Information Transmission Efficiency by Synaptic Failures

JOURNAL ARTICLE published 1 June 2004 in Neural Computation

Authors: Mark S. Goldman

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

JOURNAL ARTICLE published 1 January 2006 in Neural Computation

Authors: Md. Nurul Haque Mollah | Mihoko Minami | Shinto Eguchi

JOURNAL ISSUE published April 2004 in Neural Computation

JOURNAL ISSUE published June 2004 in Neural Computation

JOURNAL ISSUE published May 2004 in Neural Computation

JOURNAL ISSUE published August 2004 in Neural Computation