by Marianne Stecklina, Tuan Phan Minh, Tim Sabsch, Cornelius Styp von Rekowski, Daniel Kottke, Georg Krempl, Matthias Deliano, Myra Spiliopoulou. In multi-class classification, datasets often contain both classes that can be easily separated from others and classes that require many data to learn an expressive decision boundary from. In active class selection (ACS), the main […]
Month: March 2016
Temporal Aspects in Stream Active Learning
by Daniel Kottke, Georg Krempl and Myra Spiliopoulou. Classification systems use data (consisting of instances and class labels) to learn a model that predicts the unknown class label of unseen instances. In contrast to the very fast and cheap generation of instances due to big data and connected systems in everyones life, the labeling of […]