Abstract. The OMG’s Model-Driven Architecture focusses on the evolution and integration of applications across heterogeneous middleware platforms. Presently available instances o...
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
We consider the least-square linear regression problem with regularization by the 1-norm, a problem usually referred to as the Lasso. In this paper, we present a detailed asymptot...
Abstract. Business process models describe workflows by a set of actions together with their ordering. When implementing business processes within a service-oriented architecture,...
In this paper, we study the possibility of designing non-trivial random CSP models by exploiting the intrinsic connection between structures and typical-case hardness. We show tha...