Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Abstract. Active Network nodes are increasingly being used for nontrivial processing of data streams. These complex network applications typically benefit from protection between t...
: The pervasive availability and wide usage of wireless networks with different kinds of topologies, techniques and protocol suites have brought with them a need to improve securit...
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
—We consider the problem of deploying or repairing a sensor network to guarantee a specified level of multi-path connectivity (k-connectivity) between all nodes. Such a guarante...
Jonathan Bredin, Erik D. Demaine, Mohammad Taghi H...