Abstract is missing.
- Parsing Without Grammar RulesYuji Matsumoto. 1-6 [doi]
- Classification of Biological Sequences with Kernel MethodsJean-Philippe Vert. 7-18 [doi]
- Identification in the Limit of Systematic-Noisy LanguagesFrédéric Tantini, Colin de la Higuera, Jean-Christophe Janodet. 19-31 [doi]
- Ten Open Problems in Grammatical InferenceColin de la Higuera. 32-44 [doi]
- Polynomial-Time Identification of an Extension of Very Simple Grammars from Positive DataRyo Yoshinaka. 45-58 [doi]
- PAC-Learning Unambiguous NTS LanguagesAlexander Clark. 59-71 [doi]
- Incremental Learning of Context Free Grammars by Bridging Rule Generation and Search for Semi-optimum Rule SetsKatsuhiko Nakamura. 72-83 [doi]
- Variational Bayesian Grammar Induction for Natural LanguageKenichi Kurihara, Taisuke Sato. 84-96 [doi]
- Stochastic Analysis of Lexical and Semantic Enhanced Structural Language ModelShaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans. 97-111 [doi]
- Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical InferenceAmaury Habrard, François Denis, Yann Esposito. 112-124 [doi]
- Learning Analysis by Reduction from Positive DataFrantisek Mráz, Friedrich Otto, Martin Plátek. 125-136 [doi]
- Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-TimeTim Oates, Tom Armstrong, Leonor Becerra-Bonache, Mike Atamas. 137-147 [doi]
- Planar Languages and LearnabilityAlexander Clark, Christophe Costa Florêncio, Chris Watkins, Mariette Sérayet. 148-160 [doi]
- A Unified Algorithm for Extending Classes of Languages Identifiable in the Limit from Positive DataMitsuo Wakatsuki, Etsuji Tomita, Go Yamada. 161-174 [doi]
- Protein Motif Prediction by Grammatical InferencePiedachu Peris, Damián López, Marcelino Campos, José M. Sempere. 175-187 [doi]
- Grammatical Inference in Practice: A Case Study in the Biomedical DomainSophia Katrenko, Pieter W. Adriaans. 188-200 [doi]
- Inferring Grammar Rules of Programming Language DialectsAlpana Dubey, Pankaj Jalote, Sanjeev Kumar Aggarwal. 201-213 [doi]
- The Tenjinno Machine Translation CompetitionBradford Starkie, Menno van Zaanen, Dominique Estival. 214-226 [doi]
- Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1Alexander Clark. 227-239 [doi]
- A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional TransducerMarc Bernard, Jean-Christophe Janodet, Marc Sebban. 240-252 [doi]
- Learning n-Ary Node Selecting Tree Transducers from Completely Annotated ExamplesAurélien Lemay, Joachim Niehren, Rémi Gilleron. 253-267 [doi]
- Learning Multiplicity Tree AutomataAmaury Habrard, José Oncina. 268-280 [doi]
- Learning DFA from Correction and Equivalence QueriesLeonor Becerra-Bonache, Adrian Horia Dediu, Cristina Tîrnauca. 281-292 [doi]
- Using MDL for Grammar InductionPieter W. Adriaans, Ceriel Jacobs. 293-306 [doi]
- Characteristic Sets for Inferring the Unions of the Tree Pattern Languages by the Most Fitting HypothesesYen Kaow Ng, Takeshi Shinohara. 307-319 [doi]
- Learning Deterministic DEC Grammars Is Learning Rational NumbersPieter W. Adriaans. 320-326 [doi]
- Iso-array Acceptors and LearningT. Kalyani, V. Rajkumar Dare, D. G. Thomas, T. Robinson. 327-339 [doi]
- A Merging States Algorithm for Inference of ::::RFSAs::::Gloria Alvarez, Pedro Garcia, José Ruiz. 340-341 [doi]
- Query-Based Learning of XPath ExpressionsJulien Carme, Michal Ceresna, Max Goebel. 342-343 [doi]
- Learning Finite-State Machines from Inexperienced TeachersOlga Grinchtein, Martin Leucker. 344-345 [doi]
- Suprasymbolic Grammar Induction by Recurrent Self-Organizing MapsFuminori Mizushima, Takashi Toyoshima. 346-348 [doi]
- Graph-Based Structural Data Mining in Cognitive Pattern InterpretationLidia Ogiela, Ryszard Tadeusiewicz, Marek R. Ogiela. 349-350 [doi]
- Constructing Song Syntax by Automata InductionKazutoshi Sasahara, Yasuki Kakishita, Tetsuro Nishino, Miki Takahasi, Kazuo Okanoya. 351-353 [doi]
- Learning Reversible Languages with Terminal DistinguishabilityJosé M. Sempere. 354-355 [doi]
- Grammatical Inference for Syntax-Based Statistical Machine TranslationMenno van Zaanen, Jeroen Geertzen. 356-357 [doi]