Identifying relevant nodes without learning the model

by J. Pena, R. Nilsson, J. Björkegren, J. Tegnér
Year:2006

Bibliography

Identifying relevant nodes without learning the model
J. Pena, R. Nilsson, J. Björkegren, and J. Tegnér
Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006, Pages 367-374, 2006

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, 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

Keywords

Conditional probability distributions Artificial intelligence Bayesian networks Gene expression
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