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All publications by Motoaki Kawanabe
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Robust Spatial Filtering with Beta Divergence
Wojciech Samek, Duncan Blythe, Klaus-robert Müller and Motoaki Kawanabe
Advances in Neural Information Processing Systems 26, 2013


A semiparametric statistical approach to model-free policy evaluation
Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda and Shin Ishii
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Asymptotic Bayesian generalization error when training and test distributions are different
Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama and Klaus-robert Müller
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Klaus-robert Müller and Vadim V. Nikulin
Advances in Neural Information Processing Systems 20, 2007


Heterogeneous Component Analysis
Shigeyuki Oba, Motoaki Kawanabe, Klaus-robert Müller and Shin Ishii
Advances in Neural Information Processing Systems 20, 2007


Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul V. Buenau and Motoaki Kawanabe
Advances in Neural Information Processing Systems 20, 2007


In Search of Non-Gaussian Components of a High-Dimensional Distribution
Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny and Klaus-robert Müller
Journal of Machine Learning Research, 2006


Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction
Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny and Klaus-robert Müller
Advances in Neural Information Processing Systems 18, 2005


Estimating Functions for Blind Separation When Sources Have Variance Dependencies
Motoaki Kawanabe and Klaus-robert Müller
Journal of Machine Learning Research, 2005


Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling and Klaus-robert Müller
Journal of Machine Learning Research, 2003


Clustering with the Fisher Score
Koji Tsuda, Motoaki Kawanabe and Klaus-robert Müller
Advances in Neural Information Processing Systems 15, 2002


Estimating the Reliability of ICA Projections
Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001


A New Discriminative Kernel From Probabilistic Models
Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001


Kernel Feature Spaces and Nonlinear Blind Souce Separation
Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001