Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
We describe extensions to the Excel spreadsheet that integrate userdefined functions into the spreadsheet grid, rather than treating them as a "bolt-on". Our first objec...
Simon L. Peyton Jones, Alan F. Blackwell, Margaret...
Recent research identifies a growing privacy problem that exists within Online Social Networks (OSNs). Several studies have shown how easily strangers can extract personal data a...
We consider the case of sparse mobile sensors deployed to implement missions in challenging environments. This paper explores a notion of tour networks that is well suited to circ...
Modern applications are becoming increasingly more dynamic and flexible. In Java software, one important flexibility mechanism is dynamic class loading. Unfortunately, the vast ...