In this paper, we suggest a linear programming formulation that allows for solving volume and capacity planning problems in semiconductor manufacturing systems. We assume a genera...
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
The paper addresses some misconceptions of Software Engineering, requirements analysis and modelling in particular, due to underlying epistemological flaws., e.g. the believe that...
One objective of distributed artificial intelligence research is to build systems that are capable of cooperative problem solving. To this end, a number of implementation-oriented ...
Kermeta is a meta-language for specifying the structure and behavior of graphs of interconnected objects called models. In this paper, we show that Kermeta is relatively suitable f...
Naouel Moha, Sagar Sen, Cyril Faucher, Olivier Bar...