| 2006 |
|---|
| 9 | EE | Sheng Chen,
Xunxian Wang,
Xia Hong,
Chris J. Harris:
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure.
IEEE Transactions on Neural Networks 17(6): 1652-1656 (2006) |
| 2005 |
|---|
| 8 | EE | Sheng Chen,
Xunxian Wang,
Chris J. Harris:
A Search Algorithm for Global Optimisation.
ICNC (2) 2005: 1122-1130 |
| 7 | EE | Sheng Chen,
Xunxian Wang,
Chris J. Harris:
Experiments with repeating weighted boosting search for optimization signal processing applications.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(4): 682-693 (2005) |
| 2004 |
|---|
| 6 | EE | Sheng Chen,
Xunxian Wang,
David J. Brown:
Orthogonal Least Square with Boosting for Regression.
IDEAL 2004: 593-599 |
| 5 | EE | Xunxian Wang,
David J. Brown:
Boosting Orthogonal Least Squares Regression..
IDEAL 2004: 678-683 |
| 4 | | Lewis Eric Hibell,
Xunxian Wang,
David J. Brown:
Segmented neural network modelling using adaboost.
Neural Networks and Computational Intelligence 2004: 13-18 |
| 3 | | Benjamin J. B. Cannon,
David J. Brown,
Xunxian Wang:
Sigmoid neural network incremental construction by using a boosting method.
Neural Networks and Computational Intelligence 2004: 216-221 |
| 2 | EE | Xunxian Wang,
Sheng Chen,
David J. Brown:
An approach for constructing parsimonious generalized Gaussian kernel regression models.
Neurocomputing 62: 441-457 (2004) |
| 2003 |
|---|
| 1 | | Xunxian Wang,
David J. Brown:
Incremental Neural Network Construction by Using Correlation as Cost Function.
HIS 2003: 22-31 |
