This paper addresses the problem of finding a feasible solution for the University Course Timetabling Problem (UCTP), i.e. a solution that satisfies all the so-called hard const...
Mauritsius Tuga, Regina Berretta, Alexandre Mendes
Abstract. In this paper we apply a formal ontological framework in order to deconstruct two prominent approaches to navigation from cognitive robotics, the Spatial Semantic Hierarc...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
In order to design useful knowledge media spaces to knowledge workers it is essential that we understand the nature of the work conducted and the knowledge applied in real setting...