Noboru Murata
Noboru Murata
Verified email at eb.waseda.ac.jp
Title
Cited by
Cited by
Year
Network information criterion-determining the number of hidden units for an artificial neural network model
N Murata, S Yoshizawa, S Amari
IEEE transactions on neural networks 5 (6), 865-872, 1994
8221994
An approach to blind source separation based on temporal structure of speech signals
N Murata, S Ikeda, A Ziehe
Neurocomputing 41 (1-4), 1-24, 2001
6462001
Asymptotic statistical theory of overtraining and cross-validation
S Amari, N Murata, KR Muller, M Finke, HH Yang
IEEE Transactions on Neural Networks 8 (5), 985-996, 1997
4091997
A method of ICA in time-frequency domain
S Ikeda, N Murata
in Proc. ICA, 1999
2411999
Information geometry of U-Boost and Bregman divergence
N Murata, T Takenouchi, T Kanamori, S Eguchi
Neural Computation 16 (7), 1437-1481, 2004
2102004
Statistical theory of learning curves under entropic loss criterion
SI Amari, N Murata
Neural Computation 5 (1), 140-153, 1993
1971993
Neural network with unbounded activation functions is universal approximator
S Sonoda, N Murata
Applied and Computational Harmonic Analysis 43 (2), 233-268, 2017
1682017
Asymptotically optimal choice of ε-loss for support vector machines
AJ Smola, N Murata, B Schölkopf, KR Müller
International Conference on Artificial Neural Networks, 105-110, 1998
1681998
An on-line algorithm for blind source separation on speech signals
N Murata, S Ikeda
Proc. NOLTA98 3, 923-926, 1998
1671998
Adaptive on-line learning in changing environments
N Murata, KR Müller, A Ziehe, S Amari
Advances in neural information processing systems, 599-605, 1997
1051997
Statistical theory of overtraining-Is cross-validation asymptotically effective?
S Amari, N Murata, KR Müller, M Finke, HH Yang
Advances in neural information processing systems, 176-182, 1996
1041996
The EM algorithm and related statistical models
M Watanabe, K Yamaguchi
CRC Press, 2003
1022003
A statistical study of on-line learning
N Murata
Online Learning and Neural Networks. Cambridge University Press, Cambridge …, 1998
1021998
A robust approach to independent component analysis of signals with high-level noise measurements
J Cao, N Murata, S Amari, A Cichocki, T Takeda
IEEE Transactions on Neural Networks 14 (3), 631-645, 2003
942003
On-line learning in changing environments with applications in supervised and unsupervised learning
N Murata, M Kawanabe, A Ziehe, KR Müller, S Amari
Neural Networks 15 (4-6), 743-760, 2002
712002
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization
J Cao, N Murata, S Amari, A Cichocki, T Takeda
Neurocomputing 49 (1-4), 255-277, 2002
602002
An integral representation of functions using three-layered networks and their approximation bounds
N Murata
Neural Networks 9 (6), 947-956, 1996
601996
A method of blind separation on temporal structure of signals
S Ikeda, N Murata
ICONIP 98, 737-742, 1998
581998
An approach to blind source separation of speech signals
S Ikeda, N Murata
International Conference on Artificial Neural Networks, 761-766, 1998
581998
Learning curves, model selection and complexity of neural networks
N Murata, S Yoshizawa, S Amari
Advances in neural information processing systems, 607-614, 1993
581993
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