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...
We study query authentication schemes, algorithmic and cryptographic constructions that provide efficient and secure protocols for verifying the results of queries over structured...
Iterative aggregation/disaggregation methods (IAD) belong to competitive tools for computation the characteristics of Markov chains as shown in some publications devoted to testing...
Abstract. In open and heterogeneous environments offered by the Internet, where agents are designed by different vendors, the development of standards for agent communication nee...
Open Government Data initiatives in the US, UK and elsewhere have made large amounts of raw data available to the public on the Web. There is enormous potential in applying Linked...
Richard Cyganiak, Fadi Maali, Vassilios Peristeras