1. Variance and Bias for General Loss Functions

   • Gareth M. James

   OriginalPaper Pages: 115 - 135

2. Learning from Different Teachers

   • Dana Angluin
   • Mārtiņš Kriķis

   OriginalPaper Pages: 137 - 163

3. Microchoice Bounds and Self Bounding Learning Algorithms

   • John Langford
   • Avrim Blum

   OriginalPaper Pages: 165 - 179

4. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy

   • Ludmila I. Kuncheva
   • Christopher J. Whitaker

   OriginalPaper Pages: 181 - 207