Conferences in DBLP
David M. Magerman Learning grammatical stucture using statistical decision-trees. [Citation Graph (0, 0)][DBLP ] Conf ] Timo Knuutila Inductive inference from positive data: from heuristic to characterizing methods. [Citation Graph (0, 0)][DBLP ] Conf ] Kalvis Apsitis , Rusins Freivalds , Raimonds Simanovskis , Juris Smotrovs Unions of identifiable families of languages. [Citation Graph (0, 0)][DBLP ] Conf ] Colin de la Higuera Characteristic sets for polynominal grammatical inference. [Citation Graph (0, 0)][DBLP ] Conf ] Juan Miguel Vilar Query learning of subsequential transducers. [Citation Graph (0, 0)][DBLP ] Conf ] Michael R. Brent , Timothy A. Cartwright Lexical categorization: fitting template grammars by incremental MDL optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Christoph Tillmann , Hermann Ney Selection criteria for word trigger pairs in language modelling. [Citation Graph (0, 0)][DBLP ] Conf ] Ana L. N. Fred Clustering of sequences using minimum grammar compexity criterion. [Citation Graph (0, 0)][DBLP ] Conf ] Yuji Takada , Taishin Y. Nishida A note on grammatical inference of slender context-free languages. [Citation Graph (0, 0)][DBLP ] Conf ] José M. Sempere , Antonio Fos Learning linear grammars from structural information. [Citation Graph (0, 0)][DBLP ] Conf ] René Alquézar , Alberto Sanfeliu , Jordi Cueva Learning of context-sensitive language acceptors through regular inference and constrained induction. [Citation Graph (0, 0)][DBLP ] Conf ] Christer Samuelsson , Pasi Tapanainen , Atro Voutilainen Inducing constraint grammars. [Citation Graph (0, 0)][DBLP ] Conf ] Sabine Deligne , François Yvon , Frédéric Bimbot Introducing statistical dependencies and structural constraints in variable-length sequence models. [Citation Graph (0, 0)][DBLP ] Conf ] Jens Gregor , Michael G. Thomason A disagreement count scheme for inference of constrained Markov networks. [Citation Graph (0, 0)][DBLP ] Conf ] Enrique Vidal , David Llorens Using knowledge to improve N-gram language modelling through the MGGI methodology. [Citation Graph (0, 0)][DBLP ] Conf ] Reinhard Blasig Discrete sequence prediction with commented Markov models. [Citation Graph (0, 0)][DBLP ] Conf ] José Ruiz , Pedro García Learning k-piecewise testable languages from positive data. [Citation Graph (0, 0)][DBLP ] Conf ] J. D. Emerald , K. G. Subramanian , D. G. Thomas Learning code regular and code linear languages. [Citation Graph (0, 0)][DBLP ] Conf ] Pierre Dupont Incremental regular inference. [Citation Graph (0, 0)][DBLP ] Conf ] Rajesh Parekh , Vasant Honavar An incremental interactive algorithm for grammar inference. [Citation Graph (0, 0)][DBLP ] Conf ] David Lorenzo Inductive logic programming for discrete event systems. [Citation Graph (0, 0)][DBLP ] Conf ] Mostefa Golea , Masahiro Matsuoka , Yasubumi Sakakibara Stochastic simple recurrent neural networks. [Citation Graph (0, 0)][DBLP ] Conf ] Rafael C. Carrasco , Mikel L. Forcada , Laureano Santamaría Inferring stochastic regular grammars with recurrent neural networks. [Citation Graph (0, 0)][DBLP ] Conf ] Francisco Casacuberta Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemes. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Yves Giordano Grammatical inference using tabu search. [Citation Graph (0, 0)][DBLP ] Conf ] José Oncina , Miguel Angel Varó Using domain information during the learning of a subsequential transducer. [Citation Graph (0, 0)][DBLP ] Conf ] Colin de la Higuera , José Oncina , Enrique Vidal Identification of DFA: data-dependent vs data-independent algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] 