Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
Introducing heterogeneous mobile devices, such as mobile phones into the large scale sparse wireless sensor networks is a promising research direction. These devices acting as mob...
Ad hoc networks provide a dynamically reconfigurable network infrastructure where entities can participate at will. Jini technology can be used to implement an ad hoc network, and...
Nearest neighbor (NN) queries have been extended from Euclidean spaces to road networks. Existing approaches are either based on Dijkstra-like network expansion or NN/distance prec...
Decentralized and unstructured peer-to-peer networks such as Gnutella are attractive for certain applications because they require no centralized directories and no precise contro...
Qin Lv, Pei Cao, Edith Cohen, Kai Li, Scott Shenke...