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

Nakahara, Yuta, Matsushima, Toshiyasu

arXiv.org Artificial Intelligence 

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.

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