@incollection{ higuera_current_2000,
  series = {Lecture {Notes} in {Computer} {Science}},
  title = {Current {Trends} in {Grammatical} {Inference}},
  copyright = {©2000 Springer-Verlag Berlin Heidelberg},
  isbn = {978-3-540-67946-2, 978-3-540-44522-7},
  url = {http://link.springer.com.gaelnomade.ujf-grenoble.fr/chapter/10.1007/3-540-44522-6_3},
  abstract = {Grammatical inference has historically found it’s first theoretical results in the field of inductive inference, but it’s first applications in the one of Syntactic and Structural Pattern Recognition. In the mid nineties, the field emancipated and researchers from a variety of communities moved in: Computational Linguistics, Natural Language Processing, Algorithmics, Speech Recognition, Bio-Informatics, Computational Learning Theory, Machine Learning. We claim that this interaction has been fruitful and allowed in a few years the appearance of formal theoretical results establishing the quality or not of the Grammatical Inference techniques, and probably more importantly the discovery of new algorithms that can infer a variety of types of grammars and automata from heterogeneous data.},
  language = {en},
  number = {1876},
  urldate = {2015-04-21TZ},
  booktitle = {Advances in {Pattern} {Recognition}},
  publisher = {Springer Berlin Heidelberg},
  author = {Higuera, Colin de la},
  editor = {Ferri, Francesc J. and Iñesta, José M. and Amin, Adnan and Pudil, Pavel},
  year = {2000},
  note = {00057},
  keywords = {Artificial Intelligence (incl. Robotics), Computer Graphics, Image Processing and Computer Vision, Pattern Recognition},
  pages = {28--31}
}

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