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: Reinforcement and systemic machine learning for decision making
  name:
    name part: Kulkarni, Parag.
    role:
      role term: creator
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxi, 285 pages) : illustrations
  abstract: There are always difficulties in making machines that learn from experience. Complete information is not always available-or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm-creating new learning applications and, ultimately, more intelligent machines. The first book of its kind in this new and growing field, Reinforcement and Systemic Machine Learning for Decision Making focuses on the specialized research area of machine learning and systemic machine learning. It addresses reinforcement learning and its applications, incremental machine learning, repetitive failure-correction mechanisms, and multiperspective decision making. Chapters include: *Introduction to Reinforcement and Systemic Machine Learning *Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning *Systemic Machine Learning and Model *Inference and Information Integration *Adaptive Learning *Incremental Learning and Knowledge Representation *Knowledge Augmentation: A Machine Learning Perspective *Building a Learning System With the potential of this paradigm to become one of the more utilized in its field, professionals in the area of machine and systemic learning will find this book to be a valuable resource.
  note: Parag Kulkarni.
  note: Electronic resource.
  subject:
    topic: Decision making
  subject:
    topic: Machine learning
  subject:
    topic: Reinforcement learning
  subject:
    topic: Computer science
  subject:
    topic: Decision making
  subject:
    topic: Machine learning
  subject:
    topic: Reinforcement learning
  subject:
    topic: Science
  subject:
    topic: TECHNOLOGY & ENGINEERING / Electronics / General
  subject:
    topic: COMPUTERS / Enterprise Applications / Business Intelligence Tools
  subject:
    topic: COMPUTERS / Intelligence (AI) & Semantics
  classification: Q325.6 .K85 2012eb
  classification: 006.3/1 006.31
  related item:
    title info:
      title: Reinforcement and Systemic Machine Learning for Decision Making
    name:
      name part: Kulkarni, Parag
    origin info:
      publisher: Hoboken : John Wiley & Sons,c2012
  related item:
    title info:
      title: IEEE Press series on systems science and engineering
  related item:
    title info:
      title: Wiley Online Library
  identifier: 047091999X
  identifier: 1118266501 (electronic bk.)
  identifier: 111827153X (electronic bk.)
  identifier: 9780470919996
  identifier: 9781118266502 (electronic bk.)
  identifier: 9781118271537 (electronic bk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 120723
    record change date: 20210728124930.0
    record identifier: in00002766559
    language of cataloging:
      language term: eng