Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...
Christian Spieth, Felix Streichert, Nora Speer, An...
The design of state-of-the-art, complex embedded systems requires the capability of modeling and simulating the complex networked environment in which such systems operate. This i...
Franco Fummi, Giovanni Perbellini, Paolo Gallo, Ma...
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
This paper tackles the problem of analyzing the correctness and performance of a computer network protocol. Given the complexity of the problem, no currently used technique is abl...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Gi...