The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
We present the nested Chinese restaurant process (nCRP), a stochastic process that assigns probability distributions to ensembles of infinitely deep, infinitely branching trees. We show how this stochastic process can be used as a prior distribution in a Bayesian nonparametric model of document collections. Specifically, we present an application to …