Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
There is a growing demand for provisioning of different levels of quality of service (QoS) on Web servers to meet changing resource availability and satisfy different client requi...
Xiaobo Zhou, Yu Cai, Ganesh Godavari, C. Edward Ch...
We propose a new framework to study properties of consistency in a Constraint Network from the perspective of properties of set intersection. Our framework comes with a proof sche...
Most network engineering tools are unsatisfactory. Measurements are not predictive, simulations do not scale, and analysis is limited to oversimplified models. To be more useful, ...
Quantitative PET studies usually require invasive blood sampling from a peripheral artery to obtain an input function for accurate modelling. However, blood sampling is impractica...
Koon-Pong Wong, David Dagan Feng, Steven R. Meikle...