2008 |
29 | EE | Tsuyoshi Ueno,
Motoaki Kawanabe,
Takeshi Mori,
Shin-ichi Maeda,
Shin Ishii:
A semiparametric statistical approach to model-free policy evaluation.
ICML 2008: 1072-1079 |
28 | EE | Masashi Sugiyama,
Motoaki Kawanabe,
Gilles Blanchard,
Klaus-Robert Müller:
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise.
IEICE Transactions 91-D(5): 1577-1580 (2008) |
2007 |
27 | EE | Fabian J. Theis,
Motoaki Kawanabe:
Colored Subspace Analysis.
ICA 2007: 121-128 |
26 | EE | Keisuke Yamazaki,
Motoaki Kawanabe,
Sumio Watanabe,
Masashi Sugiyama,
Klaus-Robert Müller:
Asymptotic Bayesian generalization error when training and test distributions are different.
ICML 2007: 1079-1086 |
25 | EE | Masashi Sugiyama,
Shinichi Nakajima,
Hisashi Kashima,
Paul Von Bünau,
Motoaki Kawanabe:
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.
NIPS 2007 |
24 | EE | Shigeyuki Oba,
Motoaki Kawanabe,
Klaus-Robert Müller,
Shin Ishii:
Heterogeneous Component Analysis.
NIPS 2007 |
23 | EE | Benjamin Blankertz,
Motoaki Kawanabe,
Ryota Tomioka,
Friederike Hohlefeld,
Vadim V. Nikulin,
Klaus-Robert Müller:
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing.
NIPS 2007 |
22 | EE | Motoaki Kawanabe,
Fabian J. Theis:
Joint low-rank approximation for extracting non-Gaussian subspaces.
Signal Processing 87(8): 1890-1903 (2007) |
2006 |
21 | EE | Motoaki Kawanabe,
Gilles Blanchard,
Masashi Sugiyama,
Vladimir Spokoiny,
Klaus-Robert Müller:
A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces.
ICA 2006: 149-156 |
20 | EE | Motoaki Kawanabe,
Fabian J. Theis:
Estimating Non-Gaussian Subspaces by Characteristic Functions.
ICA 2006: 157-164 |
19 | EE | Fabian J. Theis,
Motoaki Kawanabe:
Uniqueness of Non-Gaussian Subspace Analysis.
ICA 2006: 917-925 |
18 | EE | Gilles Blanchard,
Motoaki Kawanabe,
Masashi Sugiyama,
Vladimir Spokoiny,
Klaus-Robert Müller:
In Search of Non-Gaussian Components of a High-Dimensional Distribution.
Journal of Machine Learning Research 7: 247-282 (2006) |
2005 |
17 | EE | Motoaki Kawanabe:
Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor.
ICANN (2) 2005: 151-156 |
16 | EE | Gilles Blanchard,
Masashi Sugiyama,
Motoaki Kawanabe,
Vladimir Spokoiny,
Klaus-Robert Müller:
Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction.
NIPS 2005 |
15 | EE | Motoaki Kawanabe,
Klaus-Robert Müller:
Estimating Functions for Blind Separation When Sources Have Variance Dependencies.
Journal of Machine Learning Research 6: 453-482 (2005) |
2004 |
14 | EE | Masashi Sugiyama,
Motoaki Kawanabe,
Klaus-Robert Müller:
Regularizing generalization error estimators: a novel approach to robust model selection.
ESANN 2004: 163-168 |
13 | EE | Motoaki Kawanabe,
Klaus-Robert Müller:
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies.
ICA 2004: 136-143 |
12 | EE | Koji Tsuda,
Shotaro Akaho,
Motoaki Kawanabe,
Klaus-Robert Müller:
Asymptotic Properties of the Fisher Kernel.
Neural Computation 16(1): 115-137 (2004) |
11 | EE | Masashi Sugiyama,
Motoaki Kawanabe,
Klaus-Robert Müller:
Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression.
Neural Computation 16(5): 1077-1104 (2004) |
2003 |
10 | EE | Volker Roth,
Julian Laub,
Motoaki Kawanabe,
Joachim M. Buhmann:
Optimal Cluster Preserving Embedding of Nonmetric Proximity Data.
IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1540-1551 (2003) |
9 | EE | Andreas Ziehe,
Motoaki Kawanabe,
Stefan Harmeling,
Klaus-Robert Müller:
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.
Journal of Machine Learning Research 4: 1319-1338 (2003) |
8 | EE | Stefan Harmeling,
Andreas Ziehe,
Motoaki Kawanabe,
Klaus-Robert Müller:
Kernel-Based Nonlinear Blind Source Separation.
Neural Computation 15(5): 1089-1124 (2003) |
2002 |
7 | EE | Koji Tsuda,
Motoaki Kawanabe:
The Leave-One-Out Kernel.
ICANN 2002: 727-732 |
6 | EE | Koji Tsuda,
Motoaki Kawanabe,
Klaus-Robert Müller:
Clustering with the Fisher Score.
NIPS 2002: 729-736 |
5 | EE | Koji Tsuda,
Motoaki Kawanabe,
Gunnar Rätsch,
Sören Sonnenburg,
Klaus-Robert Müller:
A New Discriminative Kernel from Probabilistic Models.
Neural Computation 14(10): 2397-2414 (2002) |
4 | EE | Noboru Murata,
Motoaki Kawanabe,
Andreas Ziehe,
Klaus-Robert Müller,
Shun-ichi Amari:
On-line learning in changing environments with applications in supervised and unsupervised learning.
Neural Networks 15(4-6): 743-760 (2002) |
2001 |
3 | EE | Frank C. Meinecke,
Andreas Ziehe,
Motoaki Kawanabe,
Klaus-Robert Müller:
Estimating the Reliability of ICA Projections.
NIPS 2001: 1181-1188 |
2 | EE | Stefan Harmeling,
Alexander Ziehe,
Motoaki Kawanabe,
Klaus-Robert Müller:
Kernel Feature Spaces and Nonlinear Blind Souce Separation.
NIPS 2001: 761-768 |
1 | EE | Koji Tsuda,
Motoaki Kawanabe,
Gunnar Rätsch,
Sören Sonnenburg,
Klaus-Robert Müller:
A New Discriminative Kernel From Probabilistic Models.
NIPS 2001: 977-984 |