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» Tangent Distance Kernels for Support Vector Machines
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IJCNN
2006
IEEE
15 years 10 months ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
IJDMB
2006
96views more  IJDMB 2006»
15 years 4 months ago
Kernel design for RNA classification using Support Vector Machines
Jason T. L. Wang, Xiaoming Wu
COLING
2008
15 years 5 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee