Bayesian Backpropagation Over I-O Functions Rather Than Weights

Neural Information Processing Systems 

The conventional Bayesian justification of backprop is that it finds the MAP weight vector. As this paper shows, to find the MAP i-o function instead one must add a correction tenn to backprop.