Metadata management is critical for Grid systems. More specifically, semantically meaningful resource descriptions constitute a highly beneficial extension to Grid environments t...
George Samaras, Kyriakos Karenos, Eleni Christodou...
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
This paper describes a service-oriented approach for the integration of third-party external applications and resources into an existing open source eLearning environment. We detai...