Abstract In a line of recent development, probabilistic constructions of universal, homogeneous objects have been provided in various categories of ordered structures, such as caus...
ion. First described in RFC 707,1 with implementation approaches and details later provided by Andrew Birrell and Bruce Nelson,2 RPC has influenced distributed systems research and...
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
In this article we propose an architecture for the inclusion and exploitation of semantic aspects in a CAD environment. Our schema focuses on the enhancement and improvement of a c...
Carlos Toro, Jorge Posada, Stefan Wundrak, Andr&ea...
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...