This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
In this work, decisions that have a long lasting effect on the SC such as the design and retrofit of a production/distribution network are considered. The retrofitting tasks are a...
The recent transition from meshing the whole model towards the independent meshing of the assembly parts introduced new challenges also in the task of visualizing and pre-processi...
Norbert Frisch, Dirc Rose, Ove Sommer, Thomas Ertl
In this paper, we study how an opinion dynamics model can be the core of a collective decision-making mechanism for swarm robotics. Our main result is that when opinions represent ...
Marco Antonio Montes de Oca, Eliseo Ferrante, Nith...