The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
Abstract— Creating exercises for learners requires significant time. This is one reason, beside difficulties of discussing individualized tasks in a classroom setting, why often ...
Abstract. During the last years a series of repositories containing learning contents for architecture have been created. With all the repositories financed, designed, implemented...
Christian Prause, Stefaan Ternier, Tim de Jong, St...