Relevance vector machine. In mathematics, a Relevance Vector Machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression and probabilistic classifiion. The RVM has an identical functional form to the support vector machine, but provides probabilistic classifiion.