Can someone explain to me how are SVMs are being classified in this paper as "Distribution-Based"? This is quite confusing as a taxonomy. They generaly don't es

Can someone explain to me how are SVMs are being classified in this paper as "Distribution-Based"? This is quite confusing as a taxonomy. They generaly don't estimate model free densities(kernel density estimates) or model based(separating one or more possibly overlapping normal distributions). I get that they could be explicitly modeling a data generating process's probabilty itself(just like a NN) like of a Bernoulli(whose ML function is X-Entropy) or a Normal(ML function Mean Square loss), but I don't think that is what the author meant by a Distribution . My understandin is that they don't make distributional assumption on the random variable(your Y or X) they are trying to find a max margin for.