1. Generalization and specialization strategies for learning r.e. languages

   • Sanjay Jain
   • Arun Sharma

   OriginalPaper Pages: 1 - 26

2. Learning recursive languages from good examples

   • Steffen Lange
   • Jochen Nessel
   • Rolf Wiehagen

   OriginalPaper Pages: 27 - 52

3. Efficient distribution-free population learning of simple concepts

   • Atsuyoshi Nakamura
   • Jun-ichi Takeuchi
   • Naoki Abe

   OriginalPaper Pages: 53 - 82

4. On-line learning with malicious noise and the closure algorithm

   • Peter Auer
   • Nicolò Cesa-Bianchi

   OriginalPaper Pages: 83 - 99

5. Finding tree patterns consistent with positive and negative examples using queries

   • Hiroki Ishizaka
   • Hiroki Arimura
   • Takeshi Shinohara

   OriginalPaper Pages: 101 - 115

6. Lange and Wiehagen's pattern language learning algorithm: An average-case analysis with respect to its total learning time

   • Thomas Zeugmann

   OriginalPaper Pages: 117 - 145

7. Classification using information

   • William Gasarch
   • Mark G. Pleszkoch
   • Mahendran Velauthapillai

   OriginalPaper Pages: 147 - 168

8. Constructing predicate mappings for goal-dependent abstraction

   • Yoshiaki Okubo
   • Makoto Haraguchi

   OriginalPaper Pages: 169 - 197

9. Identifying nearly minimal Gödel numbers from additional information

   • Rūsiņš Freivalds
   • Ognian Botuscharov
   • Rolf Wiehagen

   OriginalPaper Pages: 199 - 209