Multicast protocols for MANET typically construct a tree or mesh structure for multicast message distribution. Typical implementations impose scalability and efficiency limitation...
This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum lev...
Writing irregular parallel algorithms with OpenMP has been rarely practised in the past. Yet it is possible, and in this paper we will use a simple breadth
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...