Abstract. We present basic concepts and an outlook on current approaches and techniques of personal learning environments to point out their demands, focussing on recommendations i...
Uwe Kirschenmann, Maren Scheffel, Martin Friedrich...
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often...
Abstract. This paper presents a computational framework for studying the influence of learning on the evolution of avian communication. We conducted computer simulations for explo...