This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Abstract. Event-B is a formal method used for specifying and reasoning about systems. Rodin is a toolset for developing system models in Event-B. Our experiment which is outlined i...
Embedded networks for chip-to-chip networks are emerging as communication infrastructure in mobile devices. We present three novel embedded network protocols: a sliding window prot...
Despo Galataki, Andrei Radulescu, Kees Verstoep, W...
Background: Metabolic networks present a complex interconnected structure, whose understanding is in general a non-trivial task. Several formal approaches have been developed to s...