Abstract. We outline the basic principles of neuropercolation, a generalized percolation model motivated by the dynamical properties of the neuropil, the densely interconnected neu...
Robert Kozma, Marko Puljic, Paul Balister, B&eacut...
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Background: The development and simulation of dynamic models of terpenoid biosynthesis has yielded a systems perspective that provides new insights into how the structure of this ...
This paper addresses the formal verification of diagnosis systems. We tackle the problem of diagnosability: given a partially observable dynamic system, and a diagnosis system obs...
Alessandro Cimatti, Charles Pecheur, Roberto Cavad...
UML is widely used today for modelling complex systems. However, the tools support capabilities for UML is limited, partially due to its lack of precise semantics. There are some ...