| 2007 |
|---|
| 7 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan:
Extension of mixture-of-experts networks for binary classification of hierarchical data.
Artificial Intelligence in Medicine 41(1): 57-67 (2007) |
| 2006 |
|---|
| 6 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan,
Andy H. Lee:
An incremental EM-based learning approach for on-line prediction of hospital resource utilization.
Artificial Intelligence in Medicine 36(3): 257-267 (2006) |
| 5 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan,
Kui Wang,
Liat Ben-Tovim Jones,
S.-W. Ng:
A Mixture model with random-effects components for clustering correlated gene-expression profiles.
Bioinformatics 22(14): 1745-1752 (2006) |
| 2005 |
|---|
| 4 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan:
Normalized Gaussian Networks with Mixed Feature Data.
Australian Conference on Artificial Intelligence 2005: 879-882 |
| 2004 |
|---|
| 3 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan:
Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images.
Pattern Recognition 37(8): 1573-1589 (2004) |
| 2003 |
|---|
| 2 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan:
Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees.
DICTA 2003: 145-154 |
| 1 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan:
On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures.
Statistics and Computing 13(1): 45-55 (2003) |
