Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
In this paper we propose a methodology to learn to extract domain-specific information from large repositories (e.g. the Web) with minimum user intervention. Learning is seeded b...
Fabio Ciravegna, Alexiei Dingli, David Guthrie, Yo...
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
We present an overview of FAB-MAP, an algorithm for place recognition and mapping developed for infrastructure-free mobile robot navigation in large environments. The system allow...
Although there are a large number of academic and industrial model transformation frameworks available, allowing specification, implementation, maintenance and documentation of mod...
Behzad Bordbar, Gareth Howells, Michael Evans, Ath...