 | 2010 |
| 11 |  | Pei-Yi Hao:
New support vector algorithms with parametric insensitive/margin model.
Neural Networks 23(1): 60-73 (2010) |
| 2009 |
| 10 |  | Pei-Yi Hao,
Jung-Hsien Chiang,
Yen-Hsiu Lin:
A new maximal-margin spherical-structured multi-class support vector machine.
Appl. Intell. 30(2): 98-111 (2009) |
| 9 |  | Pei-Yi Hao:
Interval regression analysis using support vector networks.
Fuzzy Sets and Systems 160(17): 2466-2485 (2009) |
| 2008 |
| 8 |  | Pei-Yi Hao,
Lung-Biao Tsai,
Min-Shiu Lin:
A new Support Vector classification algorithm with parametric-margin model.
IJCNN 2008: 420-425 |
| 7 |  | Pei-Yi Hao:
Fuzzy one-class support vector machines.
Fuzzy Sets and Systems 159(18): 2317-2336 (2008) |
| 6 |  | 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 |  | 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 |  | 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 |  | Pei-Yi Hao:
Pruning Support Vectors in the SVM Framework and Its Application to Face Detection.
JCIS 2006 |
| 2 |  | 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 |  | 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) |