This paper studies types and probabilistic bisimulations for a timed -calculus as an effective tool for a compositional analysis of probabilistic distributed behaviour. The types c...
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Our work is a fundamental study of the notion of approximation in Q-categories and in (U, Q)-categories, for a quantale Q and the ultrafilter monad U. We introduce auxiliary, appro...
Abstract-- We describe an experiment in which art and illustration experts evaluated six 2D vector visualization methods. We found that these expert critiques mirrored previously r...
Daniel Acevedo Feliz, Cullen D. Jackson, Fritz Dru...
The first part of our work is connected with the analysis of typical random variables for the specific human-initiated process. We study the data characterizing editorial work wit...