Model composition is a crucial activity in Model Driven Engineering (MDE). It is particularly useful when adopting a multi-modeling approach to analyze and design software systems...
Adil Anwar, Sophie Ebersold, Bernard Coulette, Mah...
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
In data integration, a Merge operator takes as input a pair of schemas in some conceptual modelling language, together with a set of correspondences between their constructs, and p...
Abstract. In this paper an approach for building process models for ecommerce is proposed. It is based on the assumption that the process modeling task can be methodologically supp...
Maria Bergholtz, Prasad Jayaweera, Paul Johannesso...
Constraint programming provides a declarative approach to solving combinatorial (optimization) problems. The user just states the problem as a constraint satisfaction problem (CSP)...