 | 2011 |
| 16 |  | Pei-Yi Hao:
Possibilistic regression analysis by support vector machine.
FUZZ-IEEE 2011: 889-894 |
| 15 |  | Pei-Yi Hao,
Yu-De Chen:
A novel associative classification algorithm: A combination of LAC and CMAR with new measure of weighted effect of each rule group.
ICMLC 2011: 891-896 |
| 2010 |
| 14 |  | Wei-Ming Chen,
I-Lin Wu,
Jung-Hsien Chiang,
Pei-Yi Hao:
Prediction of subcelluar localization using maximal-margin spherical support vector machine.
ICMLC 2010: 1476-1481 |
| 13 |  | Pei-Yi Hao:
New support vector algorithms with parametric insensitive/margin model.
Neural Networks 23(1): 60-73 (2010) |
| 2009 |
| 12 |  | 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) |
| 11 |  | Pei-Yi Hao:
Interval regression analysis using support vector networks.
Fuzzy Sets and Systems 160(17): 2466-2485 (2009) |
| 2008 |
| 10 |  | Pei-Yi Hao:
A fuzzy model of support vector classification algorithm.
FUZZ-IEEE 2008: 299-304 |
| 9 |  | Pei-Yi Hao,
Lung-Biao Tsai,
Min-Shiu Lin:
A new Support Vector classification algorithm with parametric-margin model.
IJCNN 2008: 420-425 |
| 8 |  | Pei-Yi Hao,
Min-Shiu Lin,
Lung-Biao Tsai:
A New Support Vector Machine with Fuzzy Hyper-Plane and Its Application to Evaluate Credit Risk.
ISDA (3) 2008: 83-88 |
| 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) |