Incomplete, inaccurate, ambiguous, and volatile requirements have plagued the software industry since its inception. The convergence of model-based development and formal methods o...
Steven P. Miller, Alan C. Tribble, Mats Per Erik H...
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Since TCP can only detect congestion after packet losses have already happened, various forms of Fast TCP (FTCP) have been proposed to notify congestion early and avoid packet los...
Runtime adaptation is recognized as a viable way for a serviceoriented system to meet QoS requirements in its volatile operating environment. In this paper we propose a methodolog...
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...