Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
We study the problem of asset and liability management of participating insurance policies with guarantees. We develop a scenario optimization model for integrative asset and liab...
—We investigate the impact of the human driver behavior on Intelligent Transportation Systems (ITS). Motivated by early studies, which investigated the driver behavior and which ...
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Academics and industry professionals alike have long been interested in developing a nuanced and empirically sound typography of online gamers. Designers and engineers are aware o...