Constraint-based techniques are frequently used in solving real-life scheduling problems thanks to natural modeling capabilities and strong constraint propagation techniques encod...
tor. In order to capture different data models at a time, an abstract algebraic approach based on nested attributes is taken. The presence of the list constructor calls for a new i...
Sven Hartmann, Sebastian Link, Klaus-Dieter Schewe
Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to u...
Many component models have been proposed to address the challenge of reducing software development time and costs. Such models often offer similar functionality. We study how deve...
In this paper, we present a UML profile which defines new stereotypes, tagged values and constraints for visualizing design patterns in UML diagrams. These new stereotypes and tag...