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Shu-Kay Ng:
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- Shu-Kay Ng, Geoffrey J. McLachlan
Normalized Gaussian Networks with Mixed Feature Data. [Citation Graph (0, 0)][DBLP] Australian Conference on Artificial Intelligence, 2005, pp:879-882 [Conf]
- Shu-Kay Ng, Geoffrey J. McLachlan
Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees. [Citation Graph (0, 0)][DBLP] DICTA, 2003, pp:145-154 [Conf]
- Shu-Kay Ng, Geoffrey J. McLachlan, Andy H. Lee
An incremental EM-based learning approach for on-line prediction of hospital resource utilization. [Citation Graph (0, 0)][DBLP] Artificial Intelligence in Medicine, 2006, v:36, n:3, pp:257-267 [Journal]
- 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. [Citation Graph (0, 0)][DBLP] Bioinformatics, 2006, v:22, n:14, pp:1745-1752 [Journal]
- Shu-Kay Ng, Geoffrey J. McLachlan
Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 2004, v:37, n:8, pp:1573-1589 [Journal]
Ensemble Approach for the Classification of Imbalanced Data. [Citation Graph (, )][DBLP]
Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data. [Citation Graph (, )][DBLP]
Extension of mixture-of-experts networks for binary classification of hierarchical data. [Citation Graph (, )][DBLP]
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