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ORCID13. ICGI 2016: Sydney, Australia
- Sicco Verwer, Menno van Zaanen, Rick Smetsers:
Proceedings of the 13th International Conference on Grammatical Inference, ICGI 2016, Delft, The Netherlands, October 5-7, 2016. JMLR Workshop and Conference Proceedings 57, JMLR.org 2017
Accepted Papers
- Sicco Verwer, Menno van Zaanen, Rick Smetsers:
International Conference on Grammatical Inference 2016: Preface. 1-2 - Denis Béchet, Annie Foret:
Simple K-star Categorial Dependency Grammars and their Inference. 3-14 - Adrian-Horia Dediu, Joana M. Matos, Claudio Moraga:
Query Learning Automata with Helpful Labels. 15-29 - Roland Groz, Catherine Oriat, Nicolas Brémond:
Inferring Non-resettable Mealy Machines with n States. 30-41 - Alexander Clark:
Testing Distributional Properties of Context-Free Grammars. 42-53 - Adrien Boiret, Aurélien Lemay, Joachim Niehren:
Learning Top-Down Tree Transducers with Regular Domain Inspection. 54-65 - Kristina Strother-Garcia, Jeffrey Heinz, Hyun Jin Hwangbo:
Using Model Theory for Grammatical Inference: a Case Study from Phonology. 66-78 - Payam Siyari, Matthias Gallé:
The Generalized Smallest Grammar Problem. 79-92 - Shouhei Fukunaga, Yoshimasa Takabatake, Tomohiro I, Hiroshi Sakamoto:
Online Grammar Compression for Frequent Pattern Discovery. 93-104 - Denis Arrivault, Dominique Benielli, François Denis, Rémi Eyraud:
Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata. 105-119 - Gaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer:
Learning Deterministic Finite Automata from Infinite Alphabets. 120-131 - Borja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer:
Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence. 132-136 - Chihiro Shibata, Jeffrey Heinz:
Predicting Sequential Data with LSTMs Augmented with Strictly 2-Piecewise Input Vectors. 137-142 - Farhana Ferdousi Liza
, Marek Grzes:
A Spectral Method that Worked Well in the SPiCe'16 Competition. 143-148 - Ichinari Sato, Kaizaburo Chubachi, Diptarama:
Evaluation of Machine Learning Methods on SPiCe. 149-153 - Christian A. Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel:
Flexible State-Merging for Learning (P)DFAs in Python. 154-159 - Du Xi, Dai Zhuang:
Model Selection of Sequence Prediction Algorithms by Compression. 160-163 - Yanpeng Zhao, Shanbo Chu, Yang Zhou, Kewei Tu:
Sequence Prediction Using Neural Network Classiers. 164-169
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