I agree that Bayesian techniques can be costly. The argument I'm making is that Machine Learning techniques are best understood as approximations to Bayesian me

I agree that Bayesian techniques can be costly. The argument I'm making is that Machine Learning techniques are best understood as approximations to Bayesian methods. Not for some math reason but for some epistemological reason. You like SVM? Fine, then why do large margins matter at all? "Intuition" ?