This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
Abstract. Constraint programming offers powerful problem solving capabilities, but experienced and skilled developers are needed to maximise the benefits it offers. We introduce...
James Little, Cormac Gebruers, Derek G. Bridge, Eu...
It is argued that the teaching of programming is central to the education of skilled computer professionals, that the teaching of programming languages is central to the teaching ...
Data-type generic programming can be used to traverse and manipulate specific parts of large heterogeneously-typed tree structures, without the need for tedious boilerplate. Gene...
Abstract. This paper presents a technique that uses code to automatically generate its own test cases at run-time by using a combination of symbolic and concrete (i.e., regular) ex...