We propose a method for the detection of trends in social bookmarking systems. Compared to other work in this emerging field, our approach has a more sound statistical basis. In o...
Alexander Korth, Christian Bauckhage, Florian Metz...
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Background: Computational biology is often associated with genetic or genomic studies only. However, thanks to the increase of computational resources, computational models are ap...
Abstract. Since the advent of model checking it is becoming more common for languages to be given a semantics in terms of transition systems. Such semantics allow to model check pr...