Abstract. The High Performance Fortran (HPF) benchmark suite HPFBench was designed for evaluating the HPF language and compilers on scalable architectures. The functionality of the...
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
Abstract. Page-based Linear Genetic Programming (GP) is proposed and implemented with two-layer Subset Selection to address a two-class intrusion detection classification problem a...
Dong Song, Malcolm I. Heywood, A. Nur Zincir-Heywo...
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
In this paper, we take the concept of benchmarking as used extensively in computing and apply it to evaluating C++ fact extractors. We demonstrated the efficacy of this approach b...
Susan Elliott Sim, Richard C. Holt, Steve M. Easte...