In their paper "Feature Ranking Using Linear SVM", the authors
describe process of several machine learning tasks. In a case that
dealt with DNA microarray data (the REGED case), they apply Gaussian
filter to reduce the noise. I couldn't find any reference that
describes this technique or provides a method for estimating the noise
parameters. Can anyone give a couple of relevant publications?