Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Bootstrapping is a resampling technique that requires less computer time than simulation does. Bootstrapping -like simulation-must be defined for each type of application. This pa...
Jack P. C. Kleijnen, A. J. Feelders, Russell C. H....
: It is always a challenge to present Web applications at a facility with no Internet connection. Traditional presentation methods such as transparencies or slides are inadequate f...
In this paper we present a new model for the requirements analysis of a system. We offer a conceptual model defined following a visual modeling language, called dependence networks...
Guido Boella, Leendert van der Torre, Serena Villa...
The paper considers a technique for computation of the inverse kinematic model of the human arm. The approach is based on measurements of the hand position and orientation as well ...