Machine Learning, Volume 70, 2008

Volume 70, Number 1, January 2008

• Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar P. V. Wilder-Smith:
  Feature selection via sensitivity analysis of SVM probabilistic outputs. 1-20
  
• Malik Magdon-Ismail, Joseph Sill:
  A linear fit gets the correct monotonicity directions. 21-43
  
• Jan Drugowitsch, Alwyn Barry:
  A formal framework and extensions for function approximation in learning classifier systems. 45-88
  
• Fabien Lauer, Gérard Bloch:
  Incorporating prior knowledge in support vector regression. 89-118
  

Volume 70, Numbers 2-3, March 2008

• Stephen Muggleton, Ramón P. Otero, Simon Colton:
  Guest editorial: special issue on Inductive Logic Programming. 119-120
  
• Stephen Muggleton, Alireza Tamaddoni-Nezhad:
  QG/GA: a stochastic search for Progol. 121-133
  
• Érick Alphonse, Aomar Osmani:
  On the connection between the phase transition of the covering test and the learning success rate in ILP. 135-150
  
• Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
  Compressing probabilistic Prolog programs. 151-168
  
• Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe:
  Generalized ordering-search for learning directed probabilistic logical models. 169-188
  
• Ulrich Rückert, Stefan Kramer:
  Margin-based first-order rule learning. 189-206
  
• Fabrizio Riguzzi:
  ALLPAD: approximate learning of logic programs with annotated disjunctions. 207-223
  
• Sebastian Fröhler, Stefan Kramer:
  Inductive logic programming for gene regulation prediction. 225-240