Abstract This paper proposes a design for a system to generate constraint solvers that are specialised for specific problem models. It describes the design in detail and gives prel...
As financial markets are volatile and rapidly changing, preciseness and agility in price evaluation and risk assessment in the portfolios are more important and decision support s...
A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilis...
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
The High Level Architecture (HLA) is a standard for the interoperability and reuse of simulation components, referred to as federates. Large scale HLA-compliant simulations are bu...