Batch Updating of a Posterior Tree Distribution over a Meta-Tree

Yuta Nakahara, Toshiyasu Matsushima

Abstract: Previously, we proposed a probabilistic data generation model represented by an unobservable tree and a sequential updating method to calculate a posterior distribution over a set of trees. The set is called a meta-tree. In this paper, we propose a more efficient batch updating method.