Abstract. In the context of a research about application of dynamic visualisation parameters in animations for monitoring purposes, this paper reports on characteristics of dynamic...
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Abstract. This paper studies a technique for mapping ALCI knowledge bases into ALC. Worst-case optimal tableau-based procedures for the satisfiability/consistency problem w.r.t. g...
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...