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Machine Learning, Volume 43, 2001

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Volume 43, Number 1/2, April 2001

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Guest Editorial. Mach. Learn. 43(1/2): 5-6 (2001)
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Saso Dzeroski, Luc De Raedt, Kurt Driessens:
Relational Reinforcement Learning. 7-52
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Tamás Horváth, Stefan Wrobel, Uta Bohnebeck:
Relational Instance-Based Learning with Lists and Terms. 53-80
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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
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Mark Craven, Seán Slattery:
Relational Learning with Statistical Predicate Invention: Better Models for Hypertext. 97-119
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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

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

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