1. Guest Editors' Introduction

   • Philip K. Chan
   • Salvatore J. Stolfo
   • David Wolpert

   OriginalPaper Pages: 5 - 7

2. A Principal Components Approach to Combining Regression Estimates

   • Christopher J. Merz
   • Michael J. Pazzani

   OriginalPaper Pages: 9 - 32

3. Using Correspondence Analysis to Combine Classifiers

   • Christopher J. Merz

   OriginalPaper Pages: 33 - 58

4. Linearly Combining Density Estimators via Stacking

   • Padhraic Smyth
   • David Wolpert

   OriginalPaper Pages: 59 - 83

5. Pasting Small Votes for Classification in Large Databases and On-Line

   • Leo Breiman

   OriginalPaper Pages: 85 - 103

6. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

   • Eric Bauer
   • Ron Kohavi

   OriginalPaper Pages: 105 - 139