Suitable programming models and associated supporting infrastructures are required to deal with large software systems dived in complex and dynamic network environments. Here, wit...
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
: Bugs in network application program can be exploited to compromise the system on which the application is running. When running these applications in an unsafe environment such a...
Hierarchical software components offer interesting characteristics for the development of complex applications. However, supporting the deployment of such applications is difficult...
Having in mind the large-scale analysis of gene regulatory networks, we review a graph decimation algorithm, called "leaf-removal", which can be used to evaluate the feed...