Algorithms for Learning Decomposable Models and Chordal Graphs
نویسندگان
چکیده
Decomposable dependency models and their graphical counterparts, i.e., chordal graphs, possess a number of interesting and useful properties. On the basis of two character izations of decomposable models in terms of independence relationships, we develop an exact algorithm for recovering the chordal graphical representation of any given decom posable model. We also propose an algorithm for learning chordal approximations of de pendency models isomorphic to general un directed graphs.
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