Browsing by Subject "Active learning"

Now showing items 1-3 of 3

    • Combining Cluster and Outlier Analysis with Visual Analytics 

      Bernard, Jürgen; Dobermann, Eduard; Sedlmair, Michael; Fellner, Dieter W. (The Eurographics Association, 2017)
      Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In ...

    • Learning from the Best - Visual Analysis of a Quasi-Optimal Data Labeling Strategy 

      Bernard, Jürgen; Hutter, Marco; Lehmann, Markus; Müller, Martin; Zeppelzauer, Matthias; Sedlmair, Michael (The Eurographics Association, 2018)
      An overarching goal of active learning strategies is to reduce the human effort when labeling datasets and training machine learning methods. In this work, we focus on the analysis of a (theoretical) quasi-optimal, ...

    • A Unified Process for Visual-Interactive Labeling 

      Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang (The Eurographics Association, 2017)
      Assigning labels to data instances is a prerequisite for many machine learning tasks. Similarly, labeling is applied in visualinteractive analysis approaches. However, the strategies for creating labels often differ in the ...