In this paper, we propose an approach for guiding ontology managers through the modification of an ontology with respect to users' needs. It is based on the analysis of end-u...
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Troubleshooting problems in real manufacturing environments impose constraints on admissible solutions that make the computational solutions offered by "troubleshooting from ...
D. Volovik, Imran A. Zualkernan, Paul E. Johnson, ...
The normal method for representing anaphoric dependencies in Unification Based grammar tbrmalisms is that of re-entrance. In this paper, we address the problems that this represen...
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...