Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Recognizing the alternative ways people use to reference an entity, is important for many Web applications that query structured data. In such applications, there is often a mismat...
Successful knowledge management results in a competitive advantage in today’s information- and knowledge-rich industries. The elaboration and integration of emerging web-based t...
Christian Hirsch, John G. Hosking, John C. Grundy,...
— The quality of end-to-end services over wireless communication networks highly depends on the error characteristics of the wireless links. By utilizing the link error character...