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Machine Learning, Volume 27, 1997

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Volume 27, Number 1, April 1997

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Philip M. Long:
Guest Editor's Introduction. 5
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Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron:
An Experimental and Theoretical Comparison of Model Selection Methods. 7-50
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David P. Helmbold, Robert E. Schapire:
Predicting Nearly As Well As the Best Pruning of a Decision Tree. 51-68
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Dana Ron, Ronitt Rubinfeld:
Exactly Learning Automata of Small Cover Time. 69-96
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David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth:
A Comparison of New and Old Algorithms for a Mixture Estimation Problem. 97-119

Volume 27, Number 2, May 1997

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Colin de la Higuera:
Characteristic Sets for Polynomial Grammatical Inference. 125-138
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Johannes Fürnkranz:
Pruning Algorithms for Rule Learning. 139-172
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Volker Tresp, Jürgen Hollatz, Subutai Ahmad:
Representing Probabilistic Rules with Networks of Gaussian Basis Functions. 173-200

Volume 27, Number 3, June 1997

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Ryszard S. Michalski, Janusz Wnek:
Guest Editors' Introduction. 205-208
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Attilio Giordana, Filippo Neri, Lorenza Saitta, Marco Botta:
Integrating Multiple Learning Strategies in First Order Logics. 209-240
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Claude Sammut:
Using Background Knowledge to Build Multistrategy Learners. 241-257
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Gerhard Widmer:
Tracking Context Changes through Meta-Learning. 259-286
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Katharina Morik, Peter Brockhausen:
A Multistrategy Approach to Relational Knowledge Discovery in Databases. 287-312
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Michael J. Pazzani, Daniel Billsus:
Learning and Revising User Profiles: The Identification of Interesting Web Sites. 313-331

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