Identifying the relevant nodes without learning the model

by J.M. Pena, R. Nilsson, J. Björkegren, J. Tegnér
Year:2012

Bibliography

Identifying the relevant nodes without learning the model
J.M. Pena, R. Nilsson, J. Björkegren, J. Tegnér
arXiv preprint arXiv:1206.6847, 2012

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.

Identifying the relevant nodes without learning the model.pdf

Keywords

Relevant nodes Bayesian network Databases
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