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| 149 |       | Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi: Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755 |
| 99 | | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell: Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 |
| 86 | | Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu: Arbitrary Norm Support Vector Machines. Neural Computation 21(2): 560-582 (2009) |
| 85 | | Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu: A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009) |
| 84 | | Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009) |
| 82 | | Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King: Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 |
| 77 | | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu: Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 |
| 76 | | Kaizhu Huang, Irwin King, Michael R. Lyu: Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850 |
| 74 | | Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 |
| 68 | | 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) |
| 64 | | Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu: Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850 |
| 46 | | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627 |
| 40 | | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Engineering 53(5): 821-831 (2006) |
| 36 | | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. AMAI 2004 |
| 35 | | 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 |
| 33 | | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Learning large margin classifiers locally and globally. ICML 2004 |
| 32 | | 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 |
| 30 | | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. ISAIM 2004 |
| 26 | | 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) |
| 24 | | Kaizhu Huang, Irwin King, Michael R. Lyu: Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122 |
Selection of 20 from 169 records - Irwin King has 116 coauthors
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