Almost all attempts to monetize internet applications targeted at individuals to date have focused on natural extensions of traditional media or traditional retailing. Most are ei...
The Knowledge Base Management Systems (KBMS) Project at the University of Toronto (1985-1995) was inspired by a need for advanced knowledge representation applications that require...
Vinay K. Chaudhri, Igor Jurisica, Manolis Koubarak...
In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This...
To achieve required sensing coverage for a very long period of time is an important and challenging problem in sensor network design. Recently, Tong et al. have proposed a node rep...
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...