This paper describes the construction of a generic data model for strategic planning in Public Administration (PA). This model is presented at two distinct levels corresponding to...
Konstantinos A. Tarabanis, Vassilios Peristeras, G...
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...
In todays IP networks most of the network control and management tasks are performed at the end points. As a result, many important network functions cannot be optimized due to la...
e a set of very distinctive abstractions that result in significant modifications of the basic workflow model as outlined in pre-existing workflow model, see [2] for example. In pa...
Francisco Curbera, Rania Khalaf, William Nagy, San...
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for m...