International Conference on Grammatical Inference 2016: Preface

Sicco Verwer, Menno van Zaanen, Rick Smetsers; PMLR 57:1-2

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Simple K-star Categorial Dependency Grammars and their Inference

Denis Béchet, Annie Foret; PMLR 57:3-14

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Query Learning Automata with Helpful Labels

Adrian-Horia Dediu, Joana M. Matos, Claudio Moraga; PMLR 57:15-29

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Inferring Non-resettable Mealy Machines with $n$ States

Roland Groz, Catherine Oriat, Nicolas Brémond; PMLR 57:30-41

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Testing Distributional Properties of Context-Free Grammars

Alexander Clark; PMLR 57:42-53

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Learning Top-Down Tree Transducers with Regular Domain Inspection

Adrien Boiret, Aurélien Lemay, Joachim Niehren; PMLR 57:54-65

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Using Model Theory for Grammatical Inference: a Case Study from Phonology

Kristina Strother-Garcia, Jerey Heinz, Hyun Jin Hwangbo; PMLR 57:66-78

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The Generalized Smallest Grammar Problem

Payam Siyari, Matthias Gallé; PMLR 57:79-92

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Online Grammar Compression for Frequent Pattern Discovery

Shouhei Fukunaga, Yoshimasa Takabatake, Tomohiro I, Hiroshi Sakamoto; PMLR 57:93-104

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Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata

Denis Arrivault, Dominique Benielli, François Denis, Remi Eyraud; PMLR 57:105-119

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Learning Deterministic Finite Automata from Infinite Alphabets

Gaetano Pellegrino, Christian Hammerschmidt, Qin Lin, Sicco Verwer; PMLR 57:120-131

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Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence

Borja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer; PMLR 57:132-136

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Predicting Sequential Data with LSTMs Augmented with Strictly 2-Piecewise Input Vectors

Chihiro Shibata, Jeffrey Heinz; PMLR 57:137-142

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A Spectral Method that Worked Well in the SPiCe’16 Competition

Farhana Ferdousi Liza, Marek Grześ; PMLR 57:143-148

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Evaluation of Machine Learning Methods on SPiCe

Ichinari Sato, Kaizaburo Chubachi,  Diptarama; PMLR 57:149-153

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Flexible State-Merging for Learning (P)DFAs in Python

Christian Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel; PMLR 57:154-159

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Model Selection of Sequence Prediction Algorithms by Compression

Du Xi, Dai Zhuang; PMLR 57:160-163

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Sequence Prediction Using Neural Network Classiers

Yanpeng Zhao, Shanbo Chu, Yang Zhou, Kewei Tu; PMLR 57:164-169

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