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A conditional independence algorithm for learning undirected graphical models

✍ Scribed by Christian Borgelt


Book ID
108166573
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
254 KB
Volume
76
Category
Article
ISSN
0022-0000

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A common approach for learning Bayesian networks (BNs) from data is based on the use of a scoring metric to evaluate the fitness of any given candidate network to the data and a method to explore the search space, which usually is the set of directed acyclic graphs (DAGs). The most efficient search