Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
The classical simulation of physical processes using standard models of computation is fraught with problems. On the other hand, attempts at modelling real-world computation with ...
This paper presents computer simulations which investigate the effect that different group sizes have on the emergence of compositional structures in languages. The simulations are...
Using discrete-event simulation models, a study was conducted to evaluate the current production practices of a high-volume semiconductor back-end operation. The overall goal was ...
Joerg Domaschke, Steven Brown, Jennifer Robinson, ...
This paper brings together two lines of research: implicit characterization of complexity classes by Linear Logic (LL) on the one hand, and computation over an arbitrary ring in t...