@misc{BodlaenderKosterEijkhofetal., author = {Bodlaender, Hans L. and Koster, Arie M.C.A. and Eijkhof, Frank van den and Gaag, Linda C. van der}, title = {Pre-processing for Triangulation of Probabilistic Networks}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-6655}, number = {01-39}, abstract = {The currently most efficient algorithm for inference with a probabilistic network builds upon a triangulation of a network's graph. In this paper, we show that pre-processing can help in finding good triangulations for probabilistic networks, that is, triangulations with a minimal maximum clique size. We provide a set of rules for stepwise reducing a graph, without losing optimality. This reduction allows us to solve the triangulation problem on a smaller graph. From the smaller graph's triangulation, a triangulation of the original graph is obtained by reversing the reduction steps. Our experimental results show that the graphs of some well-known real-life probabilistic networks can be triangulated optimally just by preprocessing; for other networks, huge reductions in their graph's size are obtained.}, language = {en} }