Volume 34: International Conference on Grammatical Inference, 17-19 September 2014, Kyoto, Japan
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Editors: Alexander Clark, Makoto Kanazawa, Ryo Yoshinaka
Preface
Invited Talks
Grammar Compression: Grammatical Inference by Compression and Its Application to Real Data
; PMLR 34:3-20
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Accepted Papers
A bottom-up efficient algorithm learning substitutable languages from positive examples
; PMLR 34:49-63
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Some improvements of the spectral learning approach for probabilistic grammatical inference
; PMLR 34:64-78
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An Abstract Framework for Counterexample Analysis in Active Automata Learning
; PMLR 34:79-93
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Very efficient learning of structured classes of subsequential functions from positive data
; PMLR 34:94-108
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Grammatical Inference of some Probabilistic Context-Free Grammars from Positive Data using Minimum Satisfiability
; PMLR 34:139-152
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Inferring (k,l)-context-sensitive probabilistic context-free grammars using hierarchical Pitman-Yor processes
; PMLR 34:153-166
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Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning
; PMLR 34:167-181
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An example distribution for probabilistic query learning of simple deterministic languages
; PMLR 34:182-192
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Evaluation of selection in context-free grammar learning systems
; PMLR 34:193-206
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Induction of Directed Acyclic Word Graph in a Bioinformatics Task
; PMLR 34:207-217
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