A Well - Behaved Algorithm for SimulatingDependence Structures of Bayesian
نویسندگان
چکیده
Automatic generation of Bayesian network (BNs) structures (directed acyclic graphs) is an important step in experimental study of algorithms for inference in BNs and algorithms for learning BNs from data. Previously known simulation algorithms do not guarantee connectedness of generated structures or even successful genearation according to a user speciication. We propose a simple, eecient and well-behaved algorithm for automatic generation of BN structures. The performance of the algorithm is demonstrated experimentally.
منابع مشابه
A Well-Behaved Algorithm for Simulating Dependence Structures of Bayesian Networks
Automatic generation of Bayesian network (BNs) structures (directed acyclic graphs) is an important step in experimental study of algorithms for inference in BNs and algorithms for learning BNs from data. Previously known simulation algorithms do not guarantee connectedness of generated structures or even successful genearation according to a user specification. We propose a simple, efficient a...
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