Any model of the world a robot constructs on the basis of its sensor data is necessarily both incomplete, due to the robot’s limited window on the world, and uncertain, due to s...
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
We consider the mixed integer version of bipartite vertex cover. This is equivalent to the mixed integer network dual model, recently introduced in [2], that generalizes several m...
Michele Conforti, Laurence A. Wolsey, Giacomo Zamb...
We compare how computational effects are modelled in Classical Domain Theory and Topological Domain Theory. Both of these theories provide powerful toolkits for denotational sema...
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy lo...