Te Ming Huang - researchr alias

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Viewing Publication 1 - 7 from 7

2006

Semi-supervised learning from unbalanced labeled data: An improvementTe Ming Huang, Vojislav Kecman. kes, 10(1):21-27, 2006. [doi]

Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised LearningTe Ming Huang, Vojislav Kecman, Ivica Kopriva. Volume 17 of Studies in Computational Intelligence, Springer, 2006.

2005

Gene Extraction for Cancer Diagnosis by Support Vector MachinesTe Ming Huang, Vojislav Kecman. icann 2005: 617-624 [doi]

Gene extraction for cancer diagnosis by support vector machines - An improvementTe Ming Huang, Vojislav Kecman. artmed, 35(1-2):185-194, 2005. [doi]

2004

Bias Term b in SVMs AgainTe Ming Huang, Vojislav Kecman. esann 2004: 441-448 [doi]

Semi-supervised Learning from Unbalanced Labeled Data - An ImprovementTe Ming Huang, Vojislav Kecman. kes 2004: 802-808 [doi]

2003

On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machinesVojislav Kecman, Michael Vogt, Te Ming Huang. esann 2003: 215-222 [doi]

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