Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
The most widespread Wireless Local Area Networks (WLANs) are based today on the IEEE 802.11 standard and its various versions, especially the IEEE 802.11b. In this article we first...
We present a technique for defining and extracting passage-time densities from high-level stochastic process algebra models. Our high-level formalism is PEPA, a popular Markovian...
Jeremy T. Bradley, Nicholas J. Dingle, Stephen T. ...
Simulation is widely used for performance analysis of Personal Communication Systems due to their inherent complexity. However, resource demands (cpu-time and memory requirements)...