Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we invest...
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
Mobile Augmented Reality applications promise substantial savings in time and costs for product designers, in particular, for large products requiring scale models and expensive c...
Gudrun Klinker, Allen H. Dutoit, Martin Bauer, Joh...
Fieldbus networks have significantly improved flexibility and management in classic building automation domains. However, the costs of such installations are still greatly affec...
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...