 | 2010 |
|---|
| 7 |       | Pei-Chun Chen,
Kuang-Yao Lee,
Tsung-Ju Lee,
Yuh-Jye Lee,
Su-Yun Huang:
Multiclass support vector classification via coding and regression.
Neurocomputing 73(7-9): 1501-1512 (2010) |
| 2009 |
|---|
| 6 | | Pei-Chun Chen,
Su-Yun Huang,
Wei J. Chen,
Chuhsing Kate Hsiao:
A new regularized least squares support vector regression for gene selection.
BMC Bioinformatics 10: (2009) |
| 5 | | Yi-Ren Yeh,
Su-Yun Huang,
Yuh-Jye Lee:
Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.
IEEE Trans. Knowl. Data Eng. 21(11): 1590-1603 (2009) |
| 4 | | Su-Yun Huang,
Yi-Ren Yeh,
Shinto Eguchi:
Robust Kernel Principal Component Analysis.
Neural Computation 21(11): 3179-3213 (2009) |
| 2007 |
|---|
| 3 | | Chien-Ming Huang,
Yuh-Jye Lee,
Dennis K. J. Lin,
Su-Yun Huang:
Model selection for support vector machines via uniform design.
Computational Statistics & Data Analysis 52(1): 335-346 (2007) |
| 2 | | Yuh-Jye Lee,
Su-Yun Huang:
Reduced Support Vector Machines: A Statistical Theory.
IEEE Transactions on Neural Networks 18(1): 1-13 (2007) |
| 2004 |
|---|
| 1 | | Chuhsing Kate Hsiao,
Su-Yun Huang,
Ching-Wei Chang:
Bayesian marginal inference via candidate's formula.
Statistics and Computing 14(1): 59-66 (2004) |
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