The effect of quantization on support vector machines with Gaussian kernel

We apply here a probabilistic method to predict the effect of quantizing the parameters of a support vector machine with Gaussian kernel. Thanks 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.