The Effects of Quantization on Support Vector Machines with Gaussian Kernel

Description

We apply here a probabilistic method to predict the effect of quantizing the parameters of a Support Vector Machine. Thank to the particular structure of the SVM, the dependency of the output from the quantization noise can be predicted with good accuracy, and a simple closed–form formula can be derived, without imposing any hard–to–verify assumption

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