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ORCIDMachine Learning, Volume 43, 2001
Volume 43, Number 1/2, April 2001
- Guest Editorial. Mach. Learn. 43(1/2): 5-6 (2001)
- 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 H. 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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