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
The Effects of Quantization on Support Vector Machines with Gaussian Kernel
ANGUITA, DAVIDE;
2005-01-01
Abstract
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 assumptionFile in questo prodotto:
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