1. Machine Learning: A Maturing Field

   • Jaime Carbonell

   Editorial Commentary Pages: 5 - 7

2. Machine Learning: A maturing field

   • Jaime Carbonell

   OriginalPaper Pages: 5 - 7

3. Dynamic Parameter Encoding for genetic algorithms

   • Nicol N. Schraudolph
   • Richard K. Belew

   OriginalPaper Pages: 9 - 21

4. Dynamic Parameter Encoding for Genetic Algorithms

   • Nicol N. Schraudolph
   • Richard K. Belew

   OriginalPaper Pages: 9 - 21

5. Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization

   • Scott Dietzen
   • Frank Pfenning

   OriginalPaper Pages: 23 - 55

6. Higher-order and modal logic as a framework for explanation-based generalization

   • Scott Dietzen
   • Frank Pfenning

   OriginalPaper Pages: 23 - 55

7. The Utility of Knowledge in Inductive Learning

   • Michael Pazzani
   • Dennis Kibler

   OriginalPaper Pages: 57 - 94

8. The utility of knowledge in inductive learning

   • Michael Pazzani
   • Dennis Kibler

   OriginalPaper Pages: 57 - 94

9. Neural network design and the complexity of learning, by J. Stephen Judd. Cambridge, MA: MIT Press, 1990

   • Vasant Honavar

   Book Review Pages: 95 - 98

10. Book Review:Neural Network Design and the Complexity of Learning, by J. Stephen Judd. Cambridge, MA: MIT Press, 1990

    • Vasant Honavar

    BookReview Pages: 95 - 98

11. A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning

    • J. Stephen Judd

    Legacy Pages: 99 - 100

12. A reply to Honavar's book review of Neural Network Design and the Complexity of Learning

    • J. Stephen Judd

    Letter Pages: 99 - 100