rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Grammatical Inference
    sub title: Algorithms, Routines and Applications
  name:
    name part: Wieczorek, Wojciech.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 145 p. 18 illus. online resource.
  abstract: This book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective of practitioners. To do so, it employs the Python programming language to present all of the methods discussed. Grammatical inference is a field that lies at the intersection of multiple disciplines, with contributions from computational linguistics, pattern recognition, machine learning, computational biology, formal learning theory and many others. Though the book is largely practical, it also includes elements of learning theory, combinatorics on words, the theory of automata and formal languages, plus references to real-world problems. The listings presented here can be directly copied and pasted into other programs, thus making the book a valuable source of ready recipes for students, academic researchers, and programmers alike, as well as an inspiration for their further development.>.
  table of contents: Introduction -- State Merging Algorithms -- Partition-Based Algorithms -- Substring-Based Algorithms -- Identification Using Mathematical Modeling -- A Decomposition-Based Algorithm -- An Algorithm Based on a Directed Acyclic Word Graph -- Applications of GI Methods in Selected Fields -- A. A Quick Introduction to Python -- B. Python’s Tools for Automata, Networks, Genetic Algorithms, and SAT Solving -- C. OML and its Usage in IronPython -- References.
  note: by Wojciech Wieczorek.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Text processing (Computer science)
  subject:
    topic: Computational linguistics
  subject:
    topic: Pattern recognition
  subject:
    topic: Grammar
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Grammar
  subject:
    topic: Document Preparation and Text Processing
  subject:
    topic: Pattern Recognition
  subject:
    topic: Language Translation and Linguistics
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 673
  identifier: 9783319468013
  identifier: http://dx.doi.org/10.1007/978-3-319-46801-3
  record info:
    record creation date: 161025
    record change date: 20161025171432.0
    record identifier: 978-3-319-46801-3