An Algorithm for the Construction of Bayesian Network Structures from Data
Moninder Singh, Marco Valtorta
Previous algorithms for the construction of Bayesian belief network structures from data have been either highly dependent on conditional independence (CI) tests, or have required an ordering on the nodes to be supplied by the user. We present an algorithm that integrates these two approaches - CI tests are used to generate an ordering on the nodes from the database which is then used to recover the underlying Bayesian network structure using a non CI based method. Results of preliminary evaluation of the algorithm on two networks (ALARM and LED) are presented. We also discuss some algorithm performance issues and open problems.
PDF Link: /papers/93/p259-singh.pdf
AUTHOR = "Moninder Singh
and Marco Valtorta",
TITLE = "An Algorithm for the Construction of Bayesian Network Structures from Data",
BOOKTITLE = "Proceedings of the Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-93)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1993",
PAGES = "259--265"