AL@iKNOW 2016
Active Learning: Applications, Foundations and Emerging Trends

Table of Contents

• Front Matter
• Preface
• Table of Contents

Session 1: Tutorial

• Active Learning: Applications, Foundations and Emerging Trends (Tutorial) 1-2
  Georg Krempl, Vincent Lemaire, Edwin Lughofer, Daniel Kottke

Session 2: Regular Papers

• MapView: Graphical Data Representation for Active Learning 3-8
  Eva Weigl, Alexander Walch, Ulrich Neissl, Pauline Meyer-Heye, Thomas Radauer, Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger
• Active Learning with SVM for Land Cover Classification - What Can Go Wrong? 9-16
  Sebastian Wuttke, Wolfgang Middelmann, Uwe Stilla
• Dynamic Parameter Adaptation of SVM Based Active Learning Methodology 17-24
  Jasmina Smailović, Miha Grčar, Nada Lavrač, Martin Žnidaršič
• Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning 25-34
  Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou
• Active Subtopic Detection in Multitopic Data 35-44
  Benjamin Bergner, Georg Krempl

Additional Items

• Complete proceedings in one PDF file