Parallel programming models on large-scale systems require a scalable system for managing the processes that make up the execution of a parallel program. The process-management sys...
Pavan Balaji, Darius Buntinas, David Goodell, Will...
Koza has shown how automatically defined functions (ADFs) can reduce computational effort in the GP paradigm. In Koza's ADF, as well as in standard GP, an improvement in a par...
While the Semantic Web requires a large amount of structured knowledge (triples) to allow machine reasoning, the acquisition of this knowledge still represents an open issue. Indee...
Space missions often require radiation and extreme-temperature hardened electronics to survive the harsh environments beyond earth’s atmosphere. Traditional approaches to preser...
Didier Keymeulen, Ricardo Salem Zebulum, Rajeshuni...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...