Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
This paper presents the language Lutin and its operational semantics. This language specifically targets the domain of reactive systems, where an execution is a (virtually) infini...