Scientific, symbolic, and multimedia applications present diverse computing workloads with different types of inherent parallelism. Tomorrow’s processors will employ varying com...
Linda M. Wills, Tarek M. Taha, Lewis B. Baumstark ...
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
good solutions to complex problems. In many examples, individuals trying to solve superior global solution. This suggests that there may be general principles of information aggre...
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Symbolic model checking is a successful technique for checking properties of large finite-state systems. This method has been used to verify a number of real-world hardware desig...