On account of the enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery process....
Julien Blanchard, Bruno Pinaud, Pascale Kuntz, Fab...
Abstract. This paper introduces a semantic representation for virtual prototyping in interactive virtual construction applications. The representation reflects semantic information...
Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
An autonomic problem determination system can adapt to changing environments, react to existing or new error condition and predict possible problems. In this report, we propose su...