In large-scale clusters and computational grids, component failures become norms instead of exceptions. Failure occurrence as well as its impact on system performance and operatio...
This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized no...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
— On a scene of a natural disaster, rescuers require heavy duty hydraulic machines to answer their need of large forces, or to approach an unreachable spot. Those industrial vehi...
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai...
Due to financial losses caused by Distributed Denial of Service (DDoS) attacks, most defence mechanisms have been deployed at the network where the target server is located. We be...