Machine Learning, Volume 27, 1997

Volume 27, Number 1, April 1997

Philip M. Long: Guest Editor's Introduction. 5 BibTeX
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron: An Experimental and Theoretical Comparison of Model Selection Methods. 7-50 BibTeX
David P. Helmbold, Robert E. Schapire: Predicting Nearly As Well As the Best Pruning of a Decision Tree. 51-68 BibTeX
Dana Ron, Ronitt Rubinfeld: Exactly Learning Automata of Small Cover Time. 69-96 BibTeX
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 BibTeX

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

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