Preface

Jeffrey Heinz, Colin de la Higuera, Tim Oates; PMLR 21:1-3

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Learning and Testing the Bounded Retransmission Protocol

Fides Aarts, Harco Kuppens, Jan Tretmans, Frits Vaandrager, Sicco Verwer; PMLR 21:4-18

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Actively Learning Probabilistic Subsequential Transducers

Hasan Ibne Akram, Colin La Higuera, Claudia Eckert; PMLR 21:19-33

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Bootstrapping and Learning PDFA in Data Streams

Borja Balle, Jorge Castro, Ricard Gavaldà; PMLR 21:34-48

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Speeding Up Syntactic Learning Using Contextual Information

Leonor Becerra Bonache, Elisa Fromont, Amaury Habrard, Michaël Perrot, Marc Sebban; PMLR 21:49-53

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Clearing Restarting Automata and Grammatical Inference

Peter Černo; PMLR 21:54-68

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Integrating Grammatical Inference into Robotic Planning

Jane Chandlee, Jie Fu, Konstantinos Karydis, Cesar Koirala, Jeffrey Heinz, Herbert Tanner; PMLR 21:69-83

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Beyond Semilinearity: Distributional Learning of Parallel Multiple Context-free Grammars

Alexander Clark, Ryo Yoshinaka; PMLR 21:84-96

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Locally Substitutable Languages for Enhanced Inductive Leaps

François Coste, Gaëlle Garet, Jacques Nicolas; PMLR 21:97-111

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Grammar Induction: Beyond Local Search

Jason Eisner; PMLR 21:112-113

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Learning Substitutable Binary Plane Graph Grammars

Rémi Eyraud, Jean-Christophe Janodet, Tim Oates; PMLR 21:114-128

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Learning Tree Adjoining Grammars from Structures and Strings

Christophe Costa Florêncio; PMLR 21:129-132

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Improving Model Inference of Black Box Components having Large Input Test Set

Muhammad Naeem Irfan, Roland Groz, Catherine Oriat; PMLR 21:133-138

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Learning of Bi-$\omega$ Languages from Factors

M. Jayasrirani, M. H. Begam, D. G. Thomas, J. D. Emerald; PMLR 21:139-144

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Inducing Partially Observable Markov Decision Processes

Michael L. Littman; PMLR 21:145-148

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Inference of k-Testable Directed Acyclic Graph Languages

Damiàn Lòpez, Jorge Calera-Rubio, Javier Gallego-Sànchez; PMLR 21:149-163

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A Lattice of Sets of Alignments Built on the Common Subwords in a Finite Language

Laurent Miclet, Nelly Barbot, Baptiste Jeudy; PMLR 21:164-176

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Estimation of Generating Processes of Strings Represented with Patterns and Refinements

Keisuke Otaki, Akihiro Yamamoto; PMLR 21:177-182

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Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain

Ute Schmid, Michael Siebers, Dominik Seuß, Miriam Kunz, Stefan Lautenbacher; PMLR 21:183-188

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Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models

Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky; PMLR 21:189-194

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Active Automata Learning: From DFAs to Interface Programs and Beyond

Bernhard Steffen, Falk Howar, Malte Isberner; PMLR 21:195-209

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Fuzzy Grammar-based Prediction of Amyloidogenic Regions

Olgierd Unold; PMLR 21:210-219

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Learning Interpretations Using Sequence Classification

Menno Zaanen, Janneke Loo; PMLR 21:220-223

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Model Merging Versus Model Splitting Context-Free Grammar Induction

Menno Zaanen, Nanne Noord; PMLR 21:224-236

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Induction of Non-Deterministic Finite Automata on Supercomputers

Wojciech Wieczorek; PMLR 21:237-242

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Results of the PAutomaC Probabilistic Automaton Learning Competition

Sicco Verwer, Rémi Eyraud, Colin Higuera; PMLR 21:243-248

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Treba: Efficient Numerically Stable EM for PFA

Mans Hulden; PMLR 21:249-253

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Simple Variable Length N-grams for Probabilistic Automata Learning

Fabio N. Kepler, Sergio L. S. Mergen, Cleo Z. Billa; PMLR 21:254-258

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Marginalizing Out Transition Probabilities for Several Subclasses of PFAs

Chihiro Shibata, Ryo Yoshinaka; PMLR 21:259-263

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