Abstract is missing.
- International Conference on Grammatical Inference 2016: PrefaceSicco Verwer, Menno van Zaanen, Rick Smetsers. 1-2 [doi]
- Simple K-star Categorial Dependency Grammars and their InferenceDenis Béchet, Annie Foret. 3-14 [doi]
- Query Learning Automata with Helpful LabelsAdrian Horia Dediu, Joana M. Matos, Claudio Moraga. 15-29 [doi]
- Inferring Non-resettable Mealy Machines with n StatesRoland Groz, Catherine Oriat, Nicolas Brémond. 30-41 [doi]
- Testing Distributional Properties of Context-Free GrammarsAlexander Clark. 42-53 [doi]
- Learning Top-Down Tree Transducers with Regular Domain InspectionAdrien Boiret, Aurélien Lemay, Joachim Niehren. 54-65 [doi]
- Using Model Theory for Grammatical Inference: a Case Study from PhonologyKristina Strother-Garcia, Jerey Heinz, Hyun Jin Hwangbo. 66-78 [doi]
- The Generalized Smallest Grammar ProblemPayam Siyari, Matthias Gallé. 79-92 [doi]
- Online Grammar Compression for Frequent Pattern DiscoveryShouhei Fukunaga, Yoshimasa Takabatake, Tomohiro I, Hiroshi Sakamoto. 93-104 [doi]
- Sp2Learn: A Toolbox for the Spectral Learning of Weighted AutomataDenis Arrivault, Dominique Benielli, François Denis, Rémi Eyraud. 105-119 [doi]
- Learning Deterministic Finite Automata from Infinite AlphabetsGaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer. 120-131 [doi]
- Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a SequenceBorja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer. 132-136 [doi]
- Predicting Sequential Data with LSTMs Augmented with Strictly 2-Piecewise Input VectorsChihiro Shibata, Jeffrey Heinz. 137-142 [doi]
- A Spectral Method that Worked Well in the SPiCe'16 CompetitionFarhana Ferdousi Liza, Marek Grzes. 143-148 [doi]
- Evaluation of Machine Learning Methods on SPiCeIchinari Sato, Kaizaburo Chubachi, Diptarama. 149-153 [doi]
- Flexible State-Merging for Learning (P)DFAs in PythonChristian A. Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel. 154-159 [doi]
- Model Selection of Sequence Prediction Algorithms by CompressionDu Xi, Dai Zhuang. 160-163 [doi]
- Sequence Prediction Using Neural Network ClassiersYanpeng Zhao, Shanbo Chu, Yang Zhou, Kewei Tu. 164-169 [doi]