Abstract. We describe the implementation, within ALDEBARAN of an algorithmic method allowing the generation of a minimal labeled transition rom an abstract model ; this minimality ...
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
We conduct a computational analysis of partitions in additively separable hedonic games that satisfy standard criteria of fairness and optimality. We show that computing a partiti...
Scheduling in an environment with constraints of many different types is known to be a hard problem. We tackle this problem for an integrated steel plant in Ghent, Belgium, using ...
Partial transition systems support abstract model checking of complex temporal propercombining both over- and under-approximatingabstractions into a single model. Over the years, ...