A research program at Cornell University that sought to study the ability of first and second grade children to acquire basic science concepts and the effect of this learning on l...
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Abstract. Standard benchmark suites are a popular way to measure and compare computers performance. The Honeywell Technology Center has developed two benchmarking suites for parall...