Finally, comparison of various Bayesian models of the same task is rare (Jones and Love, 2011) and Bayesian inference generally can be demonstrated as simply one class of regularization or smoothing techniques among many others; given the problem at hand, there may well be other, equally compelling regularization methods for dealing with the bias-variance dilemma (e.g., SVMs (Shalizi, 2009)).
for comparative purposes, in this paper we examine alternative models for (a) probability estimation and (b) clustering.