We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
Many practical routing problems such as BGA, PGA, pin redistribution and test xture routing involve routing with interchangeable pins. These routing problems, especiallypackage la...
More powerful personal computers and higher network bandwidth has meant that graphics has become increasingly important on the web. Graph-based diagrams are one of the most import...
Trevor Hansen, Kim Marriott, Bernd Meyer, Peter J....