Improved Kernel Based Learning Using Smoothing Parameter Based Linear Kernels
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چکیده
Kernel based learning has already found wide applications to solve several data mining problems. In this paper, we proposed an improved linear kernel with automatic smoothing parameter (Sp) selection compared to the classical approach. Experiment results using some classification related benchmark datasets reveal that the improved linear kernel performed better than some existing kernel techniques.
منابع مشابه
Improved Kernel Learning Using Smoothing Parameter Based Linear Kernel
Kernel based learning has found wide applications in several data mining problems. In this paper, we propose a modified classical linear kernel using an automatic smoothing parameter (Sp) selection compared with the existing approach. We designed the Sp values using the Eigen values computed from the dataset. Experiment results using some classification related benchmark datasets reveal that th...
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