Introduction
Learning DFA from Simple Examples
Learning Regular Languages from Simple Positive Examples
Stochastic Finite Learning of the Pattern Languages
Efficient Algorithms for the Inference of Minimum Size DFAs
Some Statistical-Estimation Methods for Stochastic Finite-State Transducers
Language Simplification through Error-Correcting and Grammatical Inference Techniques
Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference
Stochastic Inference of Regular Tree Languages
Editorial: Inductive Logic Programming is Coming of Age
On Exact Learning of Unordered Tree Patterns
Parameter Estimation in Stochastic Logic Programs
Approximate Match of Rules Using Backpropagation Neural Networks
Extracting Context-Sensitive Models in Inductive Logic Programming