An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
Muhammed Miah, Gautam Das, Vagelis Hristidis, Heik...
Abstract—In contrast to existing work on the connected coverage problem in wireless sensor networks which assumes omnidirectional sensors with disk-like sensing range, this paper...
Xiaofeng Han, Xiang Cao, Errol L. Lloyd, Chien-Chu...
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,...
We consider scheduling problems in which a job consists of components of different types to be processed on m machines. Each machine is capable of processing components of a singl...