Structural Learning in Object Oriented Domains
Olav Bangsø, Helge Langseth, Thomas D. Nielsen · VBN Forskningsportal (Aalborg Universitet) · 2001
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by domain experts. Unfortunately, conventional algorithms do not exploit the occurrence of repetitive structures, which are often found in object oriented domains such as fault prediction in computer networks and large pedigrees.