We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its...
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
We describe the design of VIP, a graphical front-end to the model checker SPIN. VIP supports a visual formalism, called v-Promela that connects the model checker to modern hierarc...
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
: This paper brings together research from two different fields – user modelling and web ontologies – in attempt to demonstrate how recent semantic trends in web development ca...