In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
In this work we define and study a new model for the caching problem in a heterogeneous wireless network under a flash-crowd scenario. Using non-cooperative game theory, we cast t...
Pietro Michiardi, Carla-Fabiana Chiasserini, Claud...
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
During the analysis of packet log files from network experiments, the question arises which received packet belongs to which of the potentially many binary identical send events....
Benito van der Zander, Egon Wanke, Wolfgang Kie&sz...
This paper discusses the empirical evaluation of improving generalization performance of neural networks by systematic treatment of training and test failures. As a result of syst...