Identifying relevant nodes without learning the model

​We propose a method to identify all the nodes that are relevant to compute all the conditional probability distributions for a given set of nodes. Our method is simple, efficient, consistent, and does not require learning a Bayesian network first. Therefore, our method can be applied to high-dimensional databases, e.g. gene expression databases.

ISBN: 0974903922;978-097490392-7

Identifying relevant nodes without learning the model .pdf