Volume 21: International Conference on Grammatical Inference, 5-8 September 2012, University of Maryland, College Park, MD, USA


Editors: Jeffrey Heinz, Colin Higuera, Tim Oates





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

Accepted Papers

Learning and Testing the Bounded Retransmission Protocol

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

Actively Learning Probabilistic Subsequential Transducers

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

Bootstrapping and Learning PDFA in Data Streams

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

Speeding Up Syntactic Learning Using Contextual Information

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

Clearing Restarting Automata and Grammatical Inference

Peter Černo ; PMLR 21:54-68

Integrating Grammatical Inference into Robotic Planning

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

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

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

Locally Substitutable Languages for Enhanced Inductive Leaps

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

Grammar Induction: Beyond Local Search

Jason Eisner ; PMLR 21:112-113

Learning Substitutable Binary Plane Graph Grammars

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

Learning Tree Adjoining Grammars from Structures and Strings

Christophe Costa Flor, ecircncio ; PMLR 21:129-132

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

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

Learning of Bi-ω Languages from Factors

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

Inducing Partially Observable Markov Decision Processes

Michael L. Littman ; PMLR 21:145-148

Inference of k-Testable Directed Acyclic Graph Languages

Damián López, Jorge Calera-Rubio, Javier Gallego-Sánchez ; PMLR 21:149-163

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

Estimation of Generating Processes of Strings Represented with Patterns and Refinements

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

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

Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models

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

Active Automata Learning: From DFAs to Interface Programs and Beyond

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

Fuzzy Grammar-based Prediction of Amyloidogenic Regions

Olgierd Unold ; PMLR 21:210-219

Learning Interpretations Using Sequence Classification

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

Model Merging Versus Model Splitting Context-Free Grammar Induction

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

Induction of Non-Deterministic Finite Automata on Supercomputers

Wojciech Wieczorek ; PMLR 21:237-242

Results of the PAutomaC Probabilistic Automaton Learning Competition

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

Treba: Efficient Numerically Stable EM for PFA

Mans Hulden ; PMLR 21:249-253

Simple Variable Length N-grams for Probabilistic Automata Learning

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

Marginalizing Out Transition Probabilities for Several Subclasses of PFAs

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

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