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 ...
In this paper we describe an Information Retrieval problem called collection fusion. The collection fusion problem is to maximize the number of relevant natural language documents...
Geoffrey G. Towell, Ellen M. Voorhees, Narendra Ku...
The scenarization of educational activities, especially those that are going to take place within elearning platforms, has for a number of years represented a major challenge for ...
Christian Martel, Laurence Vignollet, Christine Fe...
A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
This paper analyses the requirements of a third-generation technology integrated learning environment. The architecture proposed is analysed in terms of the generic constraints of...