Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
On the Web of Data, entities are often interconnected in a way similar to web documents. Previous works have shown how PageRank can be adapted to achieve entity ranking. In this pa...
— In this paper1 we address the problem of processing continuous multi-join queries, over distributed data streams. Our approach makes use of existing work in the field of publi...
Oana Jurca, Sebastian Michel, Alexandre Herrmann, ...
We propose an approach for reducing the energy consumption of address buses that targets both the switching and the crosstalk components of power dissipation. The method is based ...
This paper describes an architecture and runtime system to implement distributed control and data processing applications in a thin-client manner, suitable for implementing a thin...