1. Learning two-tiered descriptions of flexible concepts: The POSEIDON system

   • F. Bergadano
   • S. Matwin
   • J. Zhang

   OriginalPaper Pages: 5 - 43

2. Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System

   • F. Bergadano
   • S. Matwin
   • J. Zhang

   OriginalPaper Pages: 5 - 43

3. Implementing Valiant's Learnability Theory Using Random Sets

   • E.M. Oblow

   OriginalPaper Pages: 45 - 73

4. Implementing Valiant's learnability theory using random sets

   • E. M. Oblow

   OriginalPaper Pages: 45 - 73

5. A further comparison of splitting rules for decision-tree induction

   • Wray Buntine
   • Tim Niblett

   Technical Note Pages: 75 - 85

6. A Further Comparison of Splitting Rules for Decision-Tree Induction

   • Wray Buntine
   • Tim Niblett

   OriginalPaper Pages: 75 - 85

7. On the Handling of Continuous-Valued Attributes in Decision Tree Generation

   • Usama M. Fayyad
   • Keki B. Irani

   OriginalPaper Pages: 87 - 102

8. On the handling of continuous-valued attributes in decision tree generation

   • Usama M. Fayyad
   • Keki B. Irani

   Technical Note Pages: 87 - 102

9. Call for papers

   Announcement Pages: 103 - 103

10. Call for papers

    Announcement Pages: 104 - 104