Boolean factor analysis aims at decomposing an objects × attributes Boolean matrix I into a Boolean product of an objects × factors Boolean matrix A and a factors × attributes B...
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
We introduce Semi-Matching with Demands (SMD), which models a certain problem in sensor networks of assigning individual sensors to sensing tasks. If there are multiple sensing tas...
Amotz Bar-Noy, Theodore Brown, Matthew P. Johnson,...
In a mobile ad hoc network (MANET), packet broadcast is common and frequently used to disseminate information. Broadcast consume large amount of bandwidth resource, which is scarce...
Lijuan Zhu, Bu-Sung Lee, Boon-Chong Seet, Kai Juan...
Planning in partially observable environments remains a challenging problem, despite significant recent advances in offline approximation techniques. A few online methods have a...