How does SVM relate to Bayesian decision theory?

SVM is non-probabilistic, unlike Bayesian models which estimate posterior probabilities.

Bayesian decision theory relies on probability distributions and posterior inference. SVM instead focuses on margin maximization. However, both aim to minimize classification error under different frameworks.