Volume 16, April 2011

Active Learning and Experimental Design workshop.
In conjunction with AISTATS 2010.

Tutorial

• 
  Burr Settles: From Theories to Queries. 1-18

Active Learning Challenge

• 
  Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire: Results of the Active Learning Challenge. 19-45
• 
  Gavin C. Cawley: Baseline Methods for Active Learning. 47-57
• 
  Alexander Borisov, Eugene Tuv, George C. Runger: Active Batch Learning with Tree Ensembles. 59-69
• 
  C.-H. Ho, M.-H. Tsai, C.-J. Lin: Active Learning and Experimental Design with SVMs. 71-84
• 
  J. Xie, T. Xiong: Stochastic Semi-supervised Learning. 85-98
• 
  Liang Lan, Haidong Shi, Zhuang Wang, Slobodan Vucetic: Active Learning Based on Parzen Window. 99-112
• 
  Y. Chen, S. Mani: Active Learning for Unbalanced Data in the Challenge with Multiple Models and Biasing. 113-126
• 
  Zalán Bodó, Zsolt Minier, Lehel Csató: Active Learning with Clustering. 127-139

Case Studies in Active Learning

• 
  Chris Lovell, Gareth Jones, Steve R. Gunn, Klaus-Peter Zauner: Autonomous Experimentation. 141-155
• 
  Matthieu Geist, Olivier Pietquin: Managing Uncertainty within KTD. 157-168
• 
  Katrin Tomanek, Katharina Morik: Inspecting Sample Reusability for Active Learning. 169-181