The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Abstract—This paper addresses the problem of execution time estimation for tasks in a software pipeline independent of the application structure or the underlying architecture. A...
One central issue in system structuring and quality prediction is the interdependencies of system modules. This paper proposes a novel technique for determining the operational co...