1. Representation of Finite State Automata in Recurrent Radial Basis Function Networks

   • Paolo Frasconi
   • Marco Gori
   • Giovanni Soda

   OriginalPaper Pages: 5 - 32

2. Representation of finite state automata in Recurrent Radial Basis Function networks

   • Paolo Frasconi
   • Marco Gori
   • Giovanni Soda

   OriginalPaper Pages: 5 - 32

3. Scaling Up Inductive Learning with Massive Parallelism

   • Foster John Provost
   • John M. Aronis

   OriginalPaper Pages: 33 - 46

4. Scaling up inductive learning with massive parallelism

   • Foster John Provost
   • John M. Aronis

   OriginalPaper Pages: 33 - 46

5. Classification by Feature Partitioning

   • H. Altay Guvenir
   • İzzet Şirin

   OriginalPaper Pages: 47 - 67

6. Classification by Feature Partitioning

   • H. Altay Guvenir
   • Izzet Sirin

   OriginalPaper Pages: 47 - 67

7. Learning in the Presence of Concept Drift and Hidden Contexts

   • Gerhard Widmer
   • Miroslav Kubat

   OriginalPaper Pages: 69 - 101

8. Learning in the presence of concept drift and hidden contexts

   • Gerhard Widmer
   • Miroslav Kubat

   OriginalPaper Pages: 69 - 101

9. Review of "Inductive Logic Programming: Techniques and Applications" by Nada Lavrač, Sašo Džeroski

   • Michael Pazzani

   OriginalPaper Pages: 103 - 108

10. Review of “Inductive Logic Programming: Techniques and Applications” by Nada Lavrač, Sašo Džeroski

    • Michael Pazzani

    ReviewPaper Pages: 103 - 108

11. A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications"

    • Nada Lavrač
    • Sašo Džeroski

    OriginalPaper Pages: 109 - 111

12. A reply to Pazzani's book review of “Inductive Logic Programming: Techniques and Applications”

    • Nada Lavrač
    • Sašo Džeroski

    Letter Pages: 109 - 111