Can you interpret probabilistically the output of a Support Vector Machine?
One standard way to obtain a "probability" out of a SVM is to use Platt scaling.  See, e.g., this Wikipedia page and this question on Stats.SE.  Platt scaling involves fitting a logistic regression model to predict the "probability", based on the distance to the hyperplane.