Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Interpretation interpretation is a theory of effective abstraction and/or approximation of discrete mathematical structures as found in the semantics of programming languages, mod...
In a future networked physical world, a myriad of smart sensors and actuators assess and control aspects of their environments and autonomously act in response to it. Examples ran...
—Duplication and comparison has proven to be an efficient method for error detection. Based on this generic principle dual core processor architectures with output comparison ar...
: Testing the correctness of services assures the functional quality of service-oriented application. A service-oriented application may bind dynamically to its supportive services...