We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
The last few years there has been an increasing amount of interest in the eld of distribution estimation optimization algorithms. As more techniques are introduced, the variety in...
Abstract. We introduce a generalised notion of a real-time speci cation language (\GPLC-Automata") that can be translated directly into real-time programs. In order to describ...
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
At the early stages of the phagocytic signalling, Rho GTP-binding proteins play a key role. With the stimulus from the cell membrane and with the help from the regulators (GEF, GA...