Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Abstract. There are many potential users and uses for grid computing. However, the concept of sharing computing resources excites security concerns and, whilst being powerful and f...
Abstract. Grid technology attempts to support flexible, secure, coordinated information sharing among dynamic collections of individuals, institutions, and resources. The use of G...
Saad Liaquat Kiani, Maria Riaz, Sungyoung Lee, Tae...
Abstract. Despite significant progress in the development of Grid infrastructure, the provisioning of a customized and controllable remote execution environment remains an open iss...
Katarzyna Keahey, Ian T. Foster, Timothy Freeman, ...
Abstract. We are working on the construction of a Spanish-Basque (eseu) machine translation tool using the traditional transfer model based on shallow and dependency parsing. Spani...