Machine Learning, Volume 36, 1999

Volume 36, Numbers 1-2, July 1999

• Philip K. Chan, Salvatore J. Stolfo, David Wolpert:
  Guest Editors' Introduction. 5-7
  
• Christopher J. Merz, Michael J. Pazzani:
  A Principal Components Approach to Combining Regression Estimates. 9-32
  
• Christopher J. Merz:
  Using Correspondence Analysis to Combine Classifiers. 33-58
  
• Padhraic Smyth, David Wolpert:
  Linearly Combining Density Estimators via Stacking. 59-83
  
• Leo Breiman:
  Pasting Small Votes for Classification in Large Databases and On-Line. 85-103
  
• Eric Bauer, Ron Kohavi:
  An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. 105-139
  

Volume 36, Number 3, September 1999

• Peter Auer, Philip M. Long:
  Structural Results About On-line Learning Models With and Without Queries. 147-181
  
• Fernando C. N. Pereira, Yoram Singer:
  An Efficient Extension to Mixture Techniques for Prediction and Decision Trees. 183-199
  
• Tapio Elomaa, Juho Rousu:
  General and Efficient Multisplitting of Numerical Attributes. 201-244
  

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