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: Criminal Justice Forecasts of Risk
    sub title: A Machine Learning Approach
  name:
    name part: Berk, Richard.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 115 p. 22 illus., 21 illus. in color. online resource.
  abstract: n/a.
  table of contents: Getting Started -- Some Important Background Material -- A Conceptual Introduction to Classification and Forecasting -- A More Formal Treatment of Classification and Forecasting -- Tree-Based Forecasting Methods -- Examples -- Implementation -- Some Concluding Observations About Actuarial Justice and More -- References.
  note: by Richard Berk.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical statistics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Statistics
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Probability and Statistics in Computer Science
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9781461430858
  identifier: http://dx.doi.org/10.1007/978-1-4614-3085-8
  record info:
    record creation date: 120406
    record change date: 20151204160103.0
    record identifier: 978-1-4614-3085-8