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Taichi Hayasaka
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2000 – 2009
- 2006
- [j6]Taichi Hayasaka, Shigeki Nakauchi, Shiro Usui:
An analysis of viewpoint dependency in three-dimensional object recognition using support vector machines. Syst. Comput. Jpn. 37(1): 105-115 (2006) - 2005
- [j5]Masashi Kitahara, Taichi Hayasaka, Shiro Usui:
On the statistical behavior of the learning error of layered neural networks. Syst. Comput. Jpn. 36(8): 49-58 (2005) - [j4]Paulito P. Palmes, Taichi Hayasaka, Shiro Usui:
Mutation-based genetic neural network. IEEE Trans. Neural Networks 16(3): 587-600 (2005) - 2004
- [j3]Taichi Hayasaka, Masashi Kitahara, Shiro Usui:
On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models. Neural Comput. 16(1): 99-114 (2004) - [j2]Masashi Kitahara, Taichi Hayasaka, Naohiro Toda, Shiro Usui:
On the statistical properties of least-square estimators of layered neural networks. Syst. Comput. Jpn. 35(12): 1-9 (2004) - 2003
- [c3]Paulito P. Palmes, Taichi Hayasaka, Shiro Usui:
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks. GECCO 2003: 1600-1601 - 2001
- [j1]Katsuyuki Hagiwara, Taichi Hayasaka, Naohiro Toda, Shiro Usui, Kazuhiro Kuno:
Upper bound of the expected training error of neural network regression for a Gaussian noise sequence. Neural Networks 14(10): 1419-1429 (2001) - [c2]Taichi Hayasaka, Eiichi Ohnishi, Shigeki Nakauchi, Shiro Usui:
Analysis on the Viewpoint Dependency in 3-D Object Recognition by Support Vector Machines. IWANN (2) 2001: 176-183
1990 – 1999
- 1997
- [c1]Taichi Hayasaka, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui:
On the Model Selection for Linear Combination of Step-Type Basis Functions. ICONIP (1) 1997: 245-248
Coauthor Index
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