Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
The evolution of service-oriented architectures towards digital ecosystems comprehends a number of challenges. According to Papazoglou et al., one challenge is to develop services...
Gregor Scheithauer, Konrad Voigt, Veli Bicer, Matt...
The rapidly growing web technologies and electronic commerce applications have stimulated the need of personalized and group decision support functionalities in eTourism intermedia...
Constraints formalize the dependencies in a physical world in terms of a logical relation among several unknowns. Constraint satisfaction methods allow efficient navigation of larg...