Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Distributed applications that adapt as their environment changes are developed from selfmanaging, self-configuring and self-optimising behaviours. This requires constant monitorin...
The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
Traditional real-time software development methodologies require full knowledge of the resource capability of target platforms during the development stage. However, such knowledg...
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...