The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Multi–comparand associative processors are efficient in parallel processing of complex search problems that arise from many application areas including computational geometry, ...
While monitoring, instrumented long running parallel applications generate huge amount of instrumentation data. Processing and storing this data incurs overhead, and perturbs the ...
Molecular dynamics is a widely used simulation technique to investigate material properties and structural changes under external forces. The availability of more powerful cluster...
Abstract. From a theoretical point of view, the Semantic Web is understood in terms of a stack with RDF being one of its layers. A Semantic Web application operates on the common d...