| 2009 |
|---|
| 10 | EE | Haiqin Yang,
Kaizhu Huang,
Irwin King,
Michael R. Lyu:
Localized support vector regression for time series prediction.
Neurocomputing 72(10-12): 2659-2669 (2009) |
| 2008 |
|---|
| 9 | EE | Haiqin Yang,
Kaizhu Huang,
Irwin King,
Michael R. Lyu:
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel.
IJCNN 2008: 4014-4019 |
| 8 | EE | Kaizhu Huang,
Haiqin Yang,
Irwin King,
Michael R. Lyu:
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally.
IEEE Transactions on Neural Networks 19(2): 260-272 (2008) |
| 2006 |
|---|
| 7 | EE | Kaizhu Huang,
Haiqin Yang,
Irwin King,
Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction.
IJCNN 2006: 1622-1627 |
| 2004 |
|---|
| 6 | EE | Kaizhu Huang,
Haiqin Yang,
Irwin King,
Michael R. Lyu,
Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis.
AMAI 2004 |
| 5 | EE | Kaizhu Huang,
Haiqin Yang,
Irwin King,
Michael R. Lyu:
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine.
CVPR (2) 2004: 558-563 |
| 4 | EE | Kaizhu Huang,
Haiqin Yang,
Irwin King,
Michael R. Lyu:
Learning large margin classifiers locally and globally.
ICML 2004 |
| 3 | EE | Haiqin Yang,
Kaizhu Huang,
Laiwan Chan,
Irwin King,
Michael R. Lyu:
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.
ICONIP 2004: 1260-1265 |
| 2 | EE | Kaizhu Huang,
Haiqin Yang,
Irwin King,
Michael R. Lyu,
Laiwan Chan:
The Minimum Error Minimax Probability Machine.
Journal of Machine Learning Research 5: 1253-1286 (2004) |
| 2002 |
|---|
| 1 | EE | Haiqin Yang,
Laiwan Chan,
Irwin King:
Support Vector Machine Regression for Volatile Stock Market Prediction.
IDEAL 2002: 391-396 |
