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Noboru Murata
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Publications
- 2004
- [j14]Hyeyoung Park, Noboru Murata, Shun-ichi Amari:
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC. Neural Comput. 16(2): 355-382 (2004) - 2003
- [j12]Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda:
A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans. Neural Networks 14(3): 631-645 (2003) - 2002
- [j11]Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda:
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization. Neurocomputing 49(1-4): 255-277 (2002) - [j10]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
- [j8]Tianping Chen, Shun-ichi Amari, Noboru Murata:
Sequential Extraction of Minor Components. Neural Process. Lett. 13(3): 195-201 (2001) - 1999
- [j6]Noboru Murata, Shun-ichi Amari:
Statistical analysis of learning dynamics. Signal Process. 74(1): 3-28 (1999) - [c5]Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari:
Population Decoding Based on an Unfaithful Model. NIPS 1999: 192-198 - 1997
- [j5]Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang:
Asymptotic statistical theory of overtraining and cross-validation. IEEE Trans. Neural Networks 8(5): 985-996 (1997) - [c4]Shun-ichi Amari, Noboru Murata:
Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View. IWANN 1997: 284-293 - 1996
- [j4]Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari:
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks. Neural Comput. 8(5): 1085-1106 (1996) - [c3]Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari:
Adaptive On-line Learning in Changing Environments. NIPS 1996: 599-605 - 1995
- [c2]Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang:
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? NIPS 1995: 176-182 - 1994
- [j2]Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari:
Network information criterion-determining the number of hidden units for an artificial neural network model. IEEE Trans. Neural Networks 5(6): 865-872 (1994) - 1993
- [j1]Shun-ichi Amari, Noboru Murata:
Statistical Theory of Learning Curves under Entropic Loss Criterion. Neural Comput. 5(1): 140-153 (1993) - 1992
- [c1]Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari:
Learning Curves, Model Selection and Complexity of Neural Networks. NIPS 1992: 607-614
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