A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
The purposes of this paper are to show how the development and procurement processes are affected by accountants and to consider what human factors knowledge accountants should ha...
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
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...