Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
The paper proposes a new concept of diagnosing faulty links in Network-on-a-Chip (NoC) designs. The method is based on functional fault models and it implements packet address dri...
The general dimension is a combinatorial measure that characterizes the number of queries needed to learn a concept class. We use this notion to show that any p-evaluatable concep...
This paper proposes a framework to learn concepts from di erent kinds of observations. We de ne a language to describe meta-concepts, that represent the sets of possible concepts ...
: Within the last few years, e-learning has become a focal point in several universities and organizations. While much research has been devoted to producing econtent, describing i...