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 optimization
  name:
    name part: Garnett, Roman
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2023
    copyright date: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xvi, 358 pages : illustrations (some color) ; 26 cm.
  abstract: Bayesian optimization is a methodology that has proven success in the sciences, engineering and beyond for optimizing expensive objective functions. This self-contained text targets graduate students and researchers in machine learning and statistics, and practitioners from other fields, wishing to harness the power of Bayesian optimization.
  note: Roman Garnett, Washington University in St. Louis.
  note: Includes bibliographical references (pages 331-351) and index.
  subject:
    topic: Bayesian statistical decision theory
  subject:
    topic: Gaussian processes
  subject:
    topic: Machine learning
  classification: QA279.5 .G37 2023
  classification: 519.5/42
  identifier: 9781108425780
  identifier: 110842578X
  identifier: 9781108623551
  identifier: 2022032075
  record info:
    record content source: DLC
    record creation date: 221011
    record change date: 20230524153409.5
    record identifier: in00004720565