Introduction to the Special Issue on Grammatical Inference
Distributional learning of parallel multiple context-free grammars
Spectral learning of weighted automata
Learning register automata: from languages to program structures
Adaptively learning probabilistic deterministic automata from data streams
PAutomaC: a probabilistic automata and hidden Markov models learning competition
A comparison of collapsed Bayesian methods for probabilistic finite automata
Improving active Mealy machine learning for protocol conformance testing
Finding relational redescriptions
Least-squares independence regression for non-linear causal inference under non-Gaussian noise
The Variational Garrote
Efficient implementation of class-based decomposition schemes for Naïve Bayes