A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
Abstract. In this paper we apply answer set programming to solve alternating Boolean equation systems. We develop a novel characterization of solutions for variables in disjunctive...
Co-design modeling is considered key toward handling the complexity and scale of network systems. The ability to separately specify the software and hardware aspects of computer n...
P system is a natural computing model inspired by behavior of living cells and their membranes. We show that (semi-)uniform families of P systems with active membranes can solve i...