Preface

Alexander Clark, Makoto Kanazawa, Ryo Yoshinaka; PMLR 34:1-2

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Grammar Compression: Grammatical Inference by Compression and Its Application to Real Data

Hiroshi Sakamoto; PMLR 34:3-20

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Towards a rationalist theory of language acquisition

Edward Stabler; PMLR 34:21-32

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A Canonical Semi-Deterministic Transducer

Achilles Beros, Colin Higuera; PMLR 34:33-48

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A bottom-up efficient algorithm learning substitutable languages from positive examples

François Coste, Gaëlle Garet, Jacques Nicolas; PMLR 34:49-63

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Some improvements of the spectral learning approach for probabilistic grammatical inference

Mattias Gybels, François Denis, Amaury Habrard; PMLR 34:64-78

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An Abstract Framework for Counterexample Analysis in Active Automata Learning

Malte Isberner, Bernhard Steffen; PMLR 34:79-93

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Very efficient learning of structured classes of subsequential functions from positive data

Adam Jardine, Jane Chandlee, Rémi Eyraud, Jeffrey Heinz; PMLR 34:94-108

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Learning Nondeterministic Mealy Machines

Ali Khalili, Armando Tacchella; PMLR 34:109-123

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Maximizing a Tree Series in the Representation Space

Guillaume Rabusseau, François Denis; PMLR 34:124-138

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Grammatical Inference of some Probabilistic Context-Free Grammars from Positive Data using Minimum Satisfiability

James Scicluna, Colin de la Higuera; PMLR 34:139-152

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Inferring (k,l)-context-sensitive probabilistic context-free grammars using hierarchical Pitman-Yor processes

Chihiro Shibata; PMLR 34:153-166

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Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning

Rick Smetsers, Michele Volpato, Frits Vaandrager, Sicco Verwer; PMLR 34:167-181

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An example distribution for probabilistic query learning of simple deterministic languages

Yasuhiro Tajima, Genichiro Kikui; PMLR 34:182-192

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Evaluation of selection in context-free grammar learning systems

Menno Zaanen, Nanne Noord; PMLR 34:193-206

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Induction of Directed Acyclic Word Graph in a Bioinformatics Task

Wojciech Wieczorek, Olgierd Unold; PMLR 34:207-217

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