We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Probabilistic model checking is a formal verification framework for systems which exhibit stochastic behaviour. It has been successfully applied to a wide range of domains, includ...
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Abstract. Probabilistic model checking is a formal verification technique that has been successfully applied to the analysis of systems from a broad range of domains, including sec...
John Heath, Marta Z. Kwiatkowska, Gethin Norman, D...
New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The r...