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