9. ICGI 2008: Saint-Malo, France

Regular Papers

• Dana Angluin, Leonor Becerra-Bonache:
  Learning Meaning Before Syntax. 1-14
  
• Jérôme Champavère, Rémi Gilleron, Aurélien Lemay, Joachim Niehren:
  Schema-Guided Induction of Monadic Queries. 15-28
  
• Alexander Clark, Rémi Eyraud, Amaury Habrard:
  A Polynomial Algorithm for the Inference of Context Free Languages. 29-42
  
• Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini:
  Learning Languages from Bounded Resources: The Case of the DFA and the Balls of Strings. 43-56
  
• François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi:
  Relevant Representations for the Inference of Rational Stochastic Tree Languages. 57-70
  
• Antonio Cano Gómez, Gloria Inés Alvarez:
  Learning Commutative Regular Languages. 71-83
  
• Jeffrey Heinz:
  Learning Left-to-Right and Right-to-Left Iterative Languages. 84-97
  
• Yuichi Kameda, Hiroo Tokunaga, Akihiro Yamamoto:
  Learning Bounded Unions of Noetherian Closed Set Systems Via Characteristic Sets. 98-110
  
• Anna Kasprzik:
  A Learning Algorithm for Multi-dimensional Trees, or: Learning Beyond Context-Freeness. 111-124
  
• Efim B. Kinber:
  On Learning Regular Expressions and Patterns Via Membership and Correction Queries. 125-138
  
• Bernard Lambeau, Christophe Damas, Pierre Dupont:
  State-Merging DFA Induction Algorithms with Mandatory Merge Constraints. 139-153
  
• José Oncina:
  Using Multiplicity Automata to Identify Transducer Relations from Membership and Equivalence Queries. 154-162
  
• Jorge Castro, Ricard Gavaldà:
  Towards Feasible PAC-Learning of Probabilistic Deterministic Finite Automata. 163-174
  
• José M. Sempere:
  Learning Context-Sensitive Languages from Linear Structural Information. 175-186
  
• Yasuhiro Tajima, Yoshiyuki Kotani:
  Polynomial Time Probabilistic Learning of a Subclass of Linear Languages with Queries. 187-199
  
• Isabelle Tellier:
  How to Split Recursive Automata. 200-212
  
• Cristina Tîrnauca:
  A Note on the Relationship between Different Types of Correction Queries. 213-223
  
• Kewei Tu, Vasant Honavar:
  Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. 224-237
  
• Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
  Polynomial Distinguishability of Timed Automata. 238-251
  
• Neil Walkinshaw, Kirill Bogdanov, Ken Johnson:
  Evaluation and Comparison of Inferred Regular Grammars. 252-265
  
• Ryo Yoshinaka:
  Identification in the Limit of k, l-Substitutable Context-Free Languages. 266-279
  

Poster Papers

• P. J. Abisha, D. G. Thomas, Sindhu J. Kumaar:
  Learning Subclasses of Pure Pattern Languages. 280-282
  
• Tom Armstrong, Tim Oates:
  Which Came First, the Grammar or the Lexicon?. 283-285
  
• Christophe Costa Florêncio:
  Learning Node Label Controlled Graph Grammars (Extended Abstract). 286-288
  
• S. Kannamma, D. G. Thomas, K. Rangarajan:
  Inference of Uniquely Terminating EML. 289-291
  
• Sourav Mukherjee, Tim Oates:
  Estimating Graph Parameters Using Graph Grammars. 292-294
  
• M. Jayasrirani, M. Humrosia Begam, D. Gnanaraj Thomas:
  Learning of Regular omega-Tree Languages. 295-297
  
• Olgierd Unold:
  Inducing Regular Languages Using Grammar-Based Classifier System. 298-300
  
• Menno van Zaanen, Jeroen Geertzen:
  Problems with Evaluation of Unsupervised Empirical Grammatical Inference Systems. 301-303
  

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