Abstract— We examine the problem of parallelizing the inferencing process for OWL knowledge-bases. A key challenge in this problem is partitioning the computational workload of t...
Peer-to-peer networks often use incentive policies to encourage cooperation between nodes. Such systems are generally susceptible to collusion by groups of users in order to gain ...
Qiao Lian, Zheng Zhang, Mao Yang, Ben Y. Zhao, Yaf...
This work investigates the use of reconfigurable devices as computing platform for self-organizing embedded systems. Those usually consist of a set of distributed, autonomous node...
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Our aim is to investigate the factors which determine the intrinsic hardness of constructing a solution to any particular constraint satisfaction problem instance, regardless of th...
George Boukeas, Constantinos Halatsis, Vassilis Zi...