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This paper presents a novel feature selection approach (KP-SVR) that determines a non-linear regression function with minimal error and simultaneously minimizes the number of features by penalizing their use in the dual formulation of SVR. The approach optimizes the width of an anisotropic RBF Kernel using an iterative algorithm based on the gradient descent method, eliminating features that have...
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