In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection … between large margin optimization and statistical learning and see why this paradigm is successful for many pattern … recognition problems. We then embed evolutionary computation into the most prominent representative of this class of learning …

The importance of comprehensive annotations for learning resources is widely recognized. However, it is often unclear … how these annotations should be created. A promising solution might be that learners annotate learning resources during … execution of learning processes. This paper examines tagging as a learner-driven approach that can be used to get annotations on …

This paper explores the opportunities for integrating Initiative Based Learning (IBL) and Integrated Assessment Models … (IAMs) in order to improve our understanding of learning in the context of societal transition pathways, and more … learning in a very different way, and the two approaches have major structural differences with respect to the geographical as …