Semantic relationships, those class-to-class connections that carry inherent support for constraints and various other functionalities, play an important role when building inform...
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
We show how to combine a general purpose type system for an existing language with support for programming with binders and contexts by refining the type system of ML with a rest...
With the ever-increasing transistor variability in CMOS technology, it is essential to integrate variation-aware performance analysis into the task allocation and scheduling proce...