Identifying the Relevant Nodes Without Learning the Model

06/27/2012

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by   Jose M. Peña, et al.

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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, effcient, 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.