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: Algorithmic Learning Theory
    sub title: 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings
  name:
    name part: Bshouty, Nader H.
    role:
      role term: editor.
  name:
    name part: Stoltz, Gilles.
    role:
      role term: editor.
  name:
    name part: Vayatis, Nicolas.
    role:
      role term: editor.
  name:
    name part: Zeugmann, Thomas.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 381 p. 23 illus. online resource.
  abstract: This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.
  table of contents: inductive inference -- teaching and PAC learning -- statistical learning theory and classification -- relations between models and data -- bandit problems, online prediction of individual sequences.- other models of online learning.
  note: edited by Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Computer logic
  subject:
    topic: Mathematical logic
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Mathematical Logic and Formal Languages
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Logics and Meanings of Programs
  subject:
    topic: Pattern Recognition
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 7568
  identifier: 9783642341069
  identifier: http://dx.doi.org/10.1007/978-3-642-34106-9
  record info:
    record creation date: 121001
    record change date: 20151031081037.0
    record identifier: 978-3-642-34106-9