Abstract is missing.
- Learning grammatical stucture using statistical decision-treesDavid M. Magerman. 1-21
- Inductive inference from positive data: from heuristic to characterizing methodsTimo Knuutila. 22-47
- Unions of identifiable families of languagesKalvis Apsitis, Rusins Freivalds, Raimonds Simanovskis, Juris Smotrovs. 48-58
- Characteristic sets for polynominal grammatical inferenceColin de la Higuera. 59-71
- Query learning of subsequential transducersJuan Miguel Vilar. 72-83
- Lexical categorization: fitting template grammars by incremental MDL optimizationMichael R. Brent, Timothy A. Cartwright. 84-94
- Selection criteria for word trigger pairs in language modellingChristoph Tillmann, Hermann Ney. 95-106
- Clustering of sequences using minimum grammar compexity criterionAna L. N. Fred. 107-116
- A note on grammatical inference of slender context-free languagesYuji Takada, Taishin Y. Nishida. 117-125
- Learning linear grammars from structural informationJosé M. Sempere, Antonio Fos. 126-133
- Learning of context-sensitive language acceptors through regular inference and constrained inductionRené Alquézar, Alberto Sanfeliu, Jordi Cueva. 134-145
- Inducing constraint grammarsChrister Samuelsson, Pasi Tapanainen, Atro Voutilainen. 146-155
- Introducing statistical dependencies and structural constraints in variable-length sequence modelsSabine Deligne, François Yvon, Frédéric Bimbot. 156-167
- A disagreement count scheme for inference of constrained Markov networksJens Gregor, Michael G. Thomason. 168-178
- Using knowledge to improve N-gram language modelling through the MGGI methodologyEnrique Vidal, David Llorens. 179-190
- Discrete sequence prediction with commented Markov modelsReinhard Blasig. 191-202
- Learning k-piecewise testable languages from positive dataJosé Ruiz, Pedro García. 203-210
- Learning code regular and code linear languagesJ. D. Emerald, K. G. Subramanian, D. G. Thomas. 211-221
- Incremental regular inferencePierre Dupont. 222-237
- An incremental interactive algorithm for grammar inferenceRajesh Parekh, Vasant Honavar. 238-249
- Inductive logic programming for discrete event systemsDavid Lorenzo. 250-261
- Stochastic simple recurrent neural networksMostefa Golea, Masahiro Matsuoka, Yasubumi Sakakibara. 262-273
- Inferring stochastic regular grammars with recurrent neural networksRafael C. Carrasco, Mikel L. Forcada, Laureano Santamaría. 274-281
- Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemesFrancisco Casacuberta. 282-291
- Grammatical inference using tabu searchJean-Yves Giordano. 292-300
- Using domain information during the learning of a subsequential transducerJosé Oncina, Miguel Angel Varó. 301-312
- Identification of DFA: data-dependent vs data-independent algorithmsColin de la Higuera, José Oncina, Enrique Vidal. 313-325