Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Having in mind the large-scale analysis of gene regulatory networks, we review a graph decimation algorithm, called "leaf-removal", which can be used to evaluate the feed...
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
It is widely held that programming language extensions that support separation of concerns and that are also integrative benefit development, maintenance and reuse of software de...
R. E. Kurt Stirewalt, Laura K. Dillon, Reimer Behr...
Since 1996, the core Use Case Map (UCM) notation has remained remarkably stable. As the structure and intent of workflow and scenario languages are very similar, UCMs have been ap...