Machine Learning, Volume 63, 2006

Volume 63, Number 1, April 2006

• Pierre Geurts, Damien Ernst, Louis Wehenkel:
  Extremely randomized trees. 3-42
  
• Mingyang Xu, Michael Golay:
  Data-guided model combination by decomposition and aggregation. 43-67
  
• Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
  Model-based transductive learning of the kernel matrix. 69-101
  

Volume 63, Number 2, May 2006

• Vladislav Tadic:
  Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes. 107-133
  
• Helge Langseth, Thomas D. Nielsen:
  Classification using Hierarchical Naïve Bayes models. 135-159
  
• Rosa I. Arriaga, Santosh Vempala:
  An algorithmic theory of learning: Robust concepts and random projection. 161-182
  
• Michael Rimer, Tony Martinez:
  Classification-based objective functions. 183-205
  

Volume 63, Number 3, June 2006

• Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick:
  Machine learning and games. 211-215
  
• Pieter Spronck, Marc J. V. Ponsen, Ida G. Sprinkhuizen-Kuyper, Eric O. Postma:
  Adaptive game AI with dynamic scripting. 217-248
  
• Levente Kocsis, Csaba Szepesvári:
  Universal parameter optimisation in games based on SPSA. 249-286
  
• Asaf Amit, Shaul Markovitch:
  Learning to bid in bridge. 287-327
  
• Aleksander Sadikov, Ivan Bratko:
  Learning long-term chess strategies from databases. 329-340