Abstract. In this paper, we present an unsupervised algorithm for morpheme discovery called UNGRADE (UNsupervised GRAph DEcomposition). UNGRADE works in three steps and can be appl...
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
Abstract. Given an ML function f : (int->int)->int how can we rigorously specify that f is pure, i.e., produces no side-effects other than those arising from calling its func...
The project Safe Pointers by Graph Transformation at the University of York has developed a method for specifying the shape of pointer-data structures by graph reduction, and a st...
This paper presents a three-step approach for interoperabilising heterogeneous semantic resources. Firstly, we construct homogeneous representations of these resources in a pivot ...