2009 |
24 | EE | Hideitsu Hino,
Yu Fujimoto,
Noboru Murata:
Item Preference Parameters from Grouped Ranking Observations.
PAKDD 2009: 875-882 |
2008 |
23 | EE | Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata,
Takafumi Kanamori:
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.
Neural Computation 20(6): 1596-1630 (2008) |
2007 |
22 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata:
Robust Loss Functions for Boosting.
Neural Computation 19(8): 2183-2244 (2007) |
2006 |
21 | EE | Yu Fujimoto,
Noboru Murata:
Robust Estimation for Mixture of Probability Tables based on beta-likelihood.
SDM 2006 |
20 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Noboru Murata:
Geometrical Structure of Boosting Algorithm.
New Generation Comput. 25(1): 117-141 (2006) |
2005 |
19 | EE | Kazushi Ikeda,
Noboru Murata:
Geometrical Properties of Nu Support Vector Machines with Different Norms.
Neural Computation 17(11): 2508-2529 (2005) |
2004 |
18 | EE | Daisuke Ito,
Noboru Murata:
An Approach of Moment-Based Algorithm for Noisy ICA Models.
ICA 2004: 343-349 |
17 | EE | Jun Fujiki,
Shotaro Akaho,
Noboru Murata:
Nonlinear PCA/ICA for the Structure from Motion Problem.
ICA 2004: 750-757 |
16 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata:
The Most Robust Loss Function for Boosting.
ICONIP 2004: 496-501 |
15 | EE | Hyeyoung Park,
Noboru Murata,
Shun-ichi Amari:
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC.
Neural Computation 16(2): 355-382 (2004) |
14 | EE | Noboru Murata,
Takashi Takenouchi,
Takafumi Kanamori,
Shinto Eguchi:
Information Geometry of U-Boost and Bregman Divergence.
Neural Computation 16(7): 1437-1481 (2004) |
2002 |
13 | 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) |
12 | EE | 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) |
2001 |
11 | | Tianping Chen,
Shun-ichi Amari,
Noboru Murata:
Sequential Extraction of Minor Components.
Neural Processing Letters 13(3): 195-201 (2001) |
10 | EE | Noboru Murata,
Shiro Ikeda,
Andreas Ziehe:
An approach to blind source separation based on temporal structure of speech signals.
Neurocomputing 41(1-4): 1-24 (2001) |
9 | EE | João Pedro Pedroso,
Noboru Murata:
Support vector machines with different norms: motivation, formulations and results.
Pattern Recognition Letters 22(12): 1263-1272 (2001) |
2000 |
8 | EE | João Pedro Pedroso,
Noboru Murata:
Optimization on Support Vector Machines.
IJCNN (6) 2000: 399-404 |
7 | EE | Toshinao Akuzawa,
Noboru Murata:
Multiplicative Nonholonomic/Newton -like Algorithm
CoRR cs.LG/0002006: (2000) |
1999 |
6 | EE | Si Wu,
Hiroyuki Nakahara,
Noboru Murata,
Shun-ichi Amari:
Population Decoding Based on an Unfaithful Model.
NIPS 1999: 192-198 |
1997 |
5 | | Shun-ichi Amari,
Noboru Murata:
Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View.
IWANN 1997: 284-293 |
1996 |
4 | EE | Noboru Murata,
Klaus-Robert Müller,
Andreas Ziehe,
Shun-ichi Amari:
Adaptive On-line Learning in Changing Environments.
NIPS 1996: 599-605 |
3 | EE | Noboru Murata:
An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds.
Neural Networks 9(6): 947-956 (1996) |
1995 |
2 | EE | Shun-ichi Amari,
Noboru Murata,
Klaus-Robert Müller,
M. Finke,
Howard Hua Yang:
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?
NIPS 1995: 176-182 |
1992 |
1 | EE | Noboru Murata,
Shuji Yoshizawa,
Shun-ichi Amari:
Learning Curves, Model Selection and Complexity of Neural Networks.
NIPS 1992: 607-614 |