| |
| 2008 | ||
|---|---|---|
| 8 | EE | Pei-Yi Hao, Lung-Biao Tsai, Min-Shiu Lin: A new Support Vector classification algorithm with parametric-margin model. IJCNN 2008: 420-425 |
| 7 | EE | Pei-Yi Hao: Fuzzy one-class support vector machines. Fuzzy Sets and Systems 159(18): 2317-2336 (2008) |
| 6 | EE | Pei-Yi Hao, Jung-Hsien Chiang: Fuzzy Regression Analysis by Support Vector Learning Approach. IEEE T. Fuzzy Systems 16(2): 428-441 (2008) |
| 2007 | ||
| 5 | EE | Pei-Yi Hao, Yen-Hsiu Lin: A New Multi-class Support Vector Machine with Multi-sphere in the Feature Space. IEA/AIE 2007: 756-765 |
| 4 | EE | Pei-Yi Hao, Jung-Hsien Chiang, Yi-Kun Tu: Hierarchically SVM classification based on support vector clustering method and its application to document categorization. Expert Syst. Appl. 33(3): 627-635 (2007) |
| 2006 | ||
| 3 | EE | Pei-Yi Hao: Pruning Support Vectors in the SVM Framework and Its Application to Face Detection. JCIS 2006 |
| 2 | EE | Pei-Yi Hao, Jung-Hsien Chiang: Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning. Int. J. Neural Syst. 16(4): 283-294 (2006) |
| 2004 | ||
| 1 | EE | Jung-Hsien Chiang, Pei-Yi Hao: Support vector learning mechanism for fuzzy rule-based modeling: a new approach. IEEE T. Fuzzy Systems 12(1): 1-12 (2004) |
| 1 | Jung-Hsien Chiang | [1] [2] [4] [6] |
| 2 | Min-Shiu Lin | [8] |
| 3 | Yen-Hsiu Lin | [5] |
| 4 | Lung-Biao Tsai | [8] |
| 5 | Yi-Kun Tu | [4] |