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Irwin King
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Publications
- 2015
- [j53]Haiqin Yang
, Kaizhu Huang
Maximum margin semi-supervised learning with irrelevant data. Neural Networks 70: 90-102 (2015) - [c160]Kaizhu Huang
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM 2015: 425-426 - 2014
- [j49]Bo Xu, Kaizhu Huang
Graphical lasso quadratic discriminant function and its application to character recognition. Neurocomputing 129: 33-40 (2014) - 2011
- [c124]Bo Xu, Kaizhu Huang
Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755 - 2009
- [j26]Haiqin Yang
Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009) - [j24]Kaizhu Huang
Arbitrary Norm Support Vector Machines. Neural Comput. 21(2): 560-582 (2009) - [j23]Zenglin Xu, Kaizhu Huang
A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009) - [c85]Kaizhu Huang
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 - 2008
- [j18]Kaizhu Huang
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Trans. Neural Networks 19(2): 260-272 (2008) - [c71]Zenglin Xu, Rong Jin, Kaizhu Huang
Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 - [c69]Kaizhu Huang
Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 - [c68]Kaizhu Huang
Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850 - [c66]Haiqin Yang
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 - 2007
- [c58]Zenglin Xu, Kaizhu Huang
Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850 - 2006
- [j14]Kaizhu Huang
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Eng. 53(5): 821-831 (2006) - [j13]Kaizhu Huang
Imbalanced learning with a biased minimax probability machine. IEEE Trans. Syst. Man Cybern. Part B 36(4): 913-923 (2006) - [c45]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627 - 2004
- [j12]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. 5: 1253-1286 (2004) - [c35]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 - [c33]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning large margin classifiers locally and globally. ICML 2004 - [c31]Haiqin Yang
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265 - [c30]Steven Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R. Lyu, Irwin King:
Biased support vector machine for relevance feedback in image retrieval. IJCNN 2004: 3189-3194 - [c29]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004 - 2003
- [c26]Kaizhu Huang
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122
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