Learning Bayesian Models with R

Bayesian treatment of neural networks

To set the neural network learning in a Bayesian context, consider the error function for the regression case. It can be treated as a Gaussian noise term for observing the given dataset conditioned on the weights w. This is precisely the likelihood function that can be written as follows:

Here, is the variance of the noise term given by and represents a probabilistic model. The regularization term can be considered ...