Machine Learning, Volume 43, 2001

Volume 43, Number 1/2, April 2001

• Guest Editorial. 5-6
• Saso Dzeroski, Luc De Raedt, Kurt Driessens:
  Relational Reinforcement Learning. 7-52
  
• Tamás Horváth, Stefan Wrobel, Uta Bohnebeck:
  Relational Instance-Based Learning with Lists and Terms. 53-80
  
• Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg:
  The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. 81-95
  
• Mark Craven, Seán Slattery:
  Relational Learning with Statistical Predicate Invention: Better Models for Hypertext. 97-119
  
• Dimitar Kazakov, Suresh Manandhar:
  Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming. 121-162
  

Volume 43, Number 3, June 2001

• Yoram Singer:
  Guest Editor's Introduction. 71-172
  
• Adam J. Grove, Nick Littlestone, Dale Schuurmans:
  General Convergence Results for Linear Discriminant Updates. 173-210
  
• Katy S. Azoury, Manfred K. Warmuth:
  Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions. 211-246
  
• Nicolò Cesa-Bianchi, Gábor Lugosi:
  Worst-Case Bounds for the Logarithmic Loss of Predictors. 247-264
  
• Robert E. Schapire:
  Drifting Games. 265-291
  
• Yoav Freund:
  An Adaptive Version of the Boost by Majority Algorithm. 293-318
  

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