Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Background: The opportunities for bacterial population genomics that are being realised by the application of parallel nucleotide sequencing require novel bioinformatics platforms...
Abstract. The management of user preferences is becoming a fundamental ingredient of modern Web-based data-intensive applications, in which information filtering is crucial to red...
Measurement and detection of redundancy in test suites attempt to achieve test minimization which in turn can help reduce test maintenance costs, and to also ensure the integrity ...
Feature models are widely employed in domainspecific software development to specify the domain requirements with commonality and variability. A feature model is usually construct...