A framework that delineates the relationships between learner control and learning effectiveness is absent. This study aims to fill this void. Unlike previous research, this study...
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
In this paper, we consider an uplink multiple-antenna Code-Division Multiple-Access (CDMA) system linking several multiple-antenna mobile users to one multiple-antenna base-statio...