Abstract. Software must be constantly adapted to changing requirehe time scale, abstraction level and granularity of adaptations may vary from short-term, fine-grained adaptation t...
Abstract. The goal of this roadmap paper is to summarize the state-ofthe-art and to identify critical challenges for the systematic software engineering of self-adaptive systems. T...
An increasingly important concern for modern systems design is how best to incorporate self-adaptation into systems so as to improve their ability to dynamically respond to faults,...
Shang-Wen Cheng, Vahe Poladian, David Garlan, Brad...
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...
Modelling architectural information is particularly important because of the acknowledged crucial role of software architecture in raising the level of abstraction during developme...
Abstract. We present an interactive, real-time mapping system for digital elevation maps (DEMs), which allows Earth scientists to map and therefore understand the deformation of th...
Tony Bernardin, Eric Cowgil, Ryan D. Gold, Bernd H...
A parallel distributed computational model for reasoning and learning is discussed based on a belief network paradigm. Issues like reasoning and learning for the proposed model ar...
One of the principal advantages of parallelizing a rule-based system, or more generally, any A.I. system, is the ability to pursue alternate search paths concurrently. Conventiona...
A connectionist model for robust reasoning, CONSYDERR, is proposed to account for some common reasoning patterns found in commonsense reasoning and to remedy the brittleness probl...