Abstract. We present the notion of sequential association rule and introduce Sequential Nuggets of Knowledge as sequential association rules with possible low support and good qual...
We present Tefkat, an implementation of a language designed specically for the transformation of MOF models using patterns and rules. The language adopts a declarative paradigm, w...
The memory model used in the Real-Time Specification for Java (RTSJ) imposes strict assignment rules to or from memory areas preventing the creation of dangling pointers, and thus...
Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to u...
Framework development is very expensive, not only because of the intrinsic difficulty related to capturing the domain knowledge, but also because of the lack of appropriate method...