This is a concise Python 3 programming tutorial for people who think that reading is boring. I try to show everything with simple code examples; there are no long and complicated explanations with ...

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Abstract: The generalization error bound of the support vector machine (SVM) depends on the ratio of the radius and margin. However, conventional SVM only considers ...

Abstract: Support vector machines (SVM) has been widely used in classification and nonlinear function estimation. However, the major drawback of SVM is its higher computational burden for the ...

is a nonlinear and invertible transformation for non-negative d-dimensional signals that guarantees certain linear separation theorems. The transformation builds on top of the Cumulative Distribution ...