Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
— Recent years have witnessed the proliferation of a new class of devices, commonly referred to as Networked Embedded Devices. Their increasingly low cost and small size make the...
Abstract--With the rapid development of peer-to-peer networks, simulation is considered as a useful tool to demonstrate initial ideas before building prototypes with real network t...