Shu-Kay Ng

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7EEShu-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)
6EEShu-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)
5EEShu-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)
4EEShu-Kay Ng, Geoffrey J. McLachlan: Normalized Gaussian Networks with Mixed Feature Data. Australian Conference on Artificial Intelligence 2005: 879-882
3EEShu-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)
2EEShu-Kay Ng, Geoffrey J. McLachlan: Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees. DICTA 2003: 145-154
1EEShu-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)

Coauthor Index

1Liat Ben-Tovim Jones [5]
2Andy H. Lee [6]
3Geoffrey J. McLachlan [1] [2] [3] [4] [5] [6] [7]
4S.-W. Ng [5]
5Kui Wang [5]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)