Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
Abstract: Existing multicore systems already provide deep levels of thread parallelism. Hybrid programming models and composability of parallel libraries are very active areas of r...
Costin Iancu, Steven Hofmeyr, Filip Blagojevic, Yi...
Abstract--This paper proposes spectral efficient relayassisted transmit diversity techniques, i.e., space-time and space-frequency block codes (STBC/SFBC), for single carrier frequ...
In this paper, we address the problem of designing a scalable, accurate query processor for peerto-peer filesharing and similar distributed keyword search systems. Using a global...
Boon Thau Loo, Joseph M. Hellerstein, Ryan Huebsch...
We present iMapping, a zooming based approach for visually organizing information objects. It was developed on top of semantic desktop technologies and especially targets the supp...