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arXiv · 1206.6847

Identifying the Relevant Nodes Without Learning the Model

Jose M. Pena·Roland Nilsson·Johan Björkegren·Jesper Tegnér
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Abstract

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.

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Jose M. Pena, Roland Nilsson, Johan Björkegren, Jesper Tegnér. 2012-06-27. Identifying the Relevant Nodes Without Learning the Model. https://arxiv.org/abs/1206.6847

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