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: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings
  name:
    name part: Auer, Peter.
    role:
      role term: editor.
  name:
    name part: Clark, Alexander.
    role:
      role term: editor.
  name:
    name part: Zeugmann, Thomas.
    role:
      role term: editor.
  name:
    name part: Zilles, Sandra.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 351 p. 22 illus. online resource.
  abstract: This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.
  table of contents: Inductive Inference -- Exact Learning from Queries -- Reinforcement Learning -- Online Learning and Learning with Bandit Information -- Statistical Learning Theory -- Privacy, Clustering, MDL, and Kolmogorov Complexity.
  note: edited by Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Theory of Computation
  subject:
    topic: Data Mining and Knowledge Discovery
  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, 8776
  identifier: 9783319116624
  identifier: http://dx.doi.org/10.1007/978-3-319-11662-4
  record info:
    record creation date: 141001
    record change date: 20151123191308.0
    record identifier: 978-3-319-11662-4