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DAGSTUHL
2009
9 years 11 days ago
Model-Centric, Context-Aware Software Adaptation
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...
Oscar Nierstrasz, Marcus Denker, Lukas Renggli
DAGSTUHL
2009
9 years 11 days ago
Software Engineering for Self-Adaptive Systems: A Research Roadmap
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...
Betty H. C. Cheng, Rogério de Lemos, Holger...
DAGSTUHL
2009
9 years 11 days ago
Improving Architecture-Based Self-Adaptation through Resource Prediction
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...
DAGSTUHL
2009
9 years 11 days ago
Advances in Feature Selection with Mutual Information
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...
DAGSTUHL
2009
9 years 11 days ago
Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems
Modelling architectural information is particularly important because of the acknowledged crucial role of software architecture in raising the level of abstraction during developme...
Nelly Bencomo, Gordon S. Blair
DAGSTUHL
2010
9 years 11 days ago
Real-time Terrain Mapping
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...
DAGSTUHL
1990
9 years 13 days ago
Parallel Distributed Belief Networks
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...
Wilson X. Wen
DAGSTUHL
1990
9 years 13 days ago
Parallel Rule-Firing Production Systems
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...
Daniel Neimann
DAGSTUHL
1990
9 years 13 days ago
Integrating Rules and Connectionism for Robust Reasoning
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...
Ron Sun
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