1. Foreword

   • Ming Li
   • Leslie Valiant

   Foreword Pages: 5 - 5

2. Foreword

   • Ming Li
   • Leslie Valiant

   EditorialNotes Pages: 5 - 5

3. Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle

   • Dana Angluin
   • Donna K. Slonim

   OriginalPaper Pages: 7 - 26

4. Randomly fallible teachers: Learning monotone DNF with an incomplete membership oracle

   • Dana Angluin
   • Donna K. Slonim

   OriginalPaper Pages: 7 - 26

5. Tracking Drifting Concepts By Minimizing Disagreements

   • David P. Helmbold
   • Philip M. Long

   OriginalPaper Pages: 27 - 45

6. Tracking drifting concepts by minimizing disagreements

   • David P. Helmbold
   • Philip M. Long

   OriginalPaper Pages: 27 - 45

7. Learning Probabilistic Read-once Formulas on Product Distributions

   • Robert E. Schapire

   OriginalPaper Pages: 47 - 81

8. Learning probabilistic read-once formulas on product distributions

   • Robert E. Schapire

   OriginalPaper Pages: 47 - 81

9. Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension

   • David Haussler
   • Michael Kearns
   • Robert E. Schapire

   OriginalPaper Pages: 83 - 113

10. Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension

    • David Haussler
    • Michael Kearns
    • Robert E. Schapire

    OriginalPaper Pages: 83 - 113

11. Approximation and estimation bounds for artificial neural networks

    • Andrew R. Barron

    OriginalPaper Pages: 115 - 133

12. Approximation and Estimation Bounds for Artificial Neural Networks

    • Andrew R. Barron

    OriginalPaper Pages: 115 - 133