While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...
In this paper, we address the feature interaction problem as a software composition problem. We show the applicability of a new programming style, feature-oriented programming (FO...
This paper presents an implementation methodology appropriate for providing a broad range of proven, classical Operations Research methods and techniques to the simulation modeler...
We consider the problem of dynamically hedging the profits of a corporation when these profits are correlated with returns in the financial markets. In particular, we consider the...
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...