1. Introduction

   • Vasant Honavar
   • Colin de la Higuera

   Introduction Pages: 5 - 7

2. Learning DFA from Simple Examples

   • Rajesh Parekh
   • Vasant Honavar

   OriginalPaper Pages: 9 - 35

3. Learning Regular Languages from Simple Positive Examples

   • François Denis

   OriginalPaper Pages: 37 - 66

4. Stochastic Finite Learning of the Pattern Languages

   • Peter Rossmanith
   • Thomas Zeugmann

   OriginalPaper Pages: 67 - 91

5. Efficient Algorithms for the Inference of Minimum Size DFAs

   • Arlindo L. Oliveira
   • João P.M. Silva

   OriginalPaper Pages: 93 - 119

6. Some Statistical-Estimation Methods for Stochastic Finite-State Transducers

   • David Picó
   • Francisco Casacuberta

   OriginalPaper Pages: 121 - 141

7. Language Simplification through Error-Correcting and Grammatical Inference Techniques

   • Juan-Carlos Amengual
   • Alberto Sanchis
   • José-Miguel Benedí

   OriginalPaper Pages: 143 - 159

8. Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference

   • C. Lee Giles
   • Steve Lawrence
   • Ah Chung Tsoi

   OriginalPaper Pages: 161 - 183

9. Stochastic Inference of Regular Tree Languages

   • Rafael C. Carrasco
   • Jose Oncina
   • Jorge Calera-Rubio

   OriginalPaper Pages: 185 - 197