Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Share and reuse of learning objects are an important issue, that are not solved by simply adding a metadata description. Their contextualisation as well as their level of granular...
Emmanuel Fernandes, Hend Madhour, Sami Miniaoui, M...
In the context of information system engineering, we propose a four-layer metamodeling architecture with a comprehensive set of operations on metamodels. Our architecture enables ...
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...