Machine Learning, Volume 27, 1997

Volume 27, Number 1, April 1997

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

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

Volume 27, Number 3, June 1997

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

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