Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
Modelling Business to Government (B2G) interaction is considered to be more complex than Citizen to Government (C2G) interaction, since the concept of authorized citizens, represen...
Alexandros Dais, Mara Nikolaidou, Dimosthenis Anag...
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
This work addresses the problem of application mapping in networks-on-chip (NoCs) having as goal to minimize the total dynamic energy consumption of a complex system-on-a-chip (So...
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...