Te Ming Huang Coauthor index DBLP Vis pubzone.org

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DBLP keys2006
7no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTe Ming Huang, Vojislav Kecman, Ivica Kopriva: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning. Springer 2006
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTe Ming Huang, Vojislav Kecman: Semi-supervised learning from unbalanced labeled data: An improvement. KES Journal 10(1): 21-27 (2006)
2005
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTe Ming Huang, Vojislav Kecman: Gene Extraction for Cancer Diagnosis by Support Vector Machines. ICANN (1) 2005: 617-624
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTe Ming Huang, Vojislav Kecman: Gene extraction for cancer diagnosis by support vector machines - An improvement. Artificial Intelligence in Medicine 35(1-2): 185-194 (2005)
2004
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTe Ming Huang, Vojislav Kecman: Bias Term b in SVMs Again. ESANN 2004: 441-448
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTe Ming Huang, Vojislav Kecman: Semi-supervised Learning from Unbalanced Labeled Data - An Improvement. KES 2004: 802-808
2003
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVojislav Kecman, Michael Vogt, Te Ming Huang: On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines. ESANN 2003: 215-222

Coauthor Index

1Vojislav Kecman [1] [2] [3] [4] [5] [6] [7]
2Ivica Kopriva [7]
3Michael Vogt [1]

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