We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
Network coding offers increased throughput and improved robustness to random faults in completely decentralized networks. In contrast to traditional routing schemes, however, netw...
Dan Boneh, David Freeman, Jonathan Katz, Brent Wat...
In this paper, we seek to contribute to the Ubiquitous Computing agenda by focusing on one of its earliest, but most difficult, design ambitions ? making technology "invisibl...
Peter Tolmie, James Pycock, Tim Diggins, Allan Mac...
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...