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: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
  name:
    name part: Kjærulff, Uffe B.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Madsen, Anders L.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    edition: Second Edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 382 p. online resource.
  abstract: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented on model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined based on numerous courses the authors have held for practitioners worldwide. Uffe B. Kjærulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsen of HUGIN EXPERT A/S holds a PhD on probabilistic networks and is an Adjunct Professor of Computer Science at Aalborg University.
  table of contents: Introduction -- Networks -- Probabilities -- Probabilistic Networks -- Solving Probabilistic Networks -- Eliciting the Model -- Modeling Techniques -- Data-Driven Modeling -- Conflict Analysis -- Sensitivity Analysis -- Value of Information Analysis -- Quick Reference to Model Construction -- List of Examples -- List of Figures -- List of Tables -- List of Symbols -- References -- Index.
  note: by Uffe B. Kjærulff, Anders L. Madsen.
  subject:
    topic: Statistics
  subject:
    topic: Mathematical statistics
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Statistics and Computing/Statistics Programs
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Probability Theory and Stochastic Processes
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Information Science and Statistics, 22
  identifier: 9781461451044
  identifier: http://dx.doi.org/10.1007/978-1-4614-5104-4
  record info:
    record creation date: 121205
    record change date: 20151125192205.0
    record identifier: 978-1-4614-5104-4