This paper examines whether the ability to reuse a simulation, in whole or in part, results in tangible cost savings on the overall economics of the original simulation. Specific ...
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
In this paper, we consider the recovery of an airline schedule after an unforeseen event called disruption, making the planned schedule infeasible. We present a modeling framework...
Niklaus Eggenberg, Matteo Salani, Michel Bierlaire
This paper presents a watermarking algorithm that is suitable for the data represented in floating- or fixed-point numbers. By keeping the modulation information, every value in th...
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...