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» Tangent Distance Kernels for Support Vector Machines
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IJCNN
2006
IEEE
15 years 9 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
96
Voted
IJDMB
2006
96views more  IJDMB 2006»
15 years 3 months ago
Kernel design for RNA classification using Support Vector Machines
Jason T. L. Wang, Xiaoming Wu
144
Voted
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