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

Volume 36, Number 3, September 1999

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