Reinforcement and systemic machine learning for decision making
Bibliographic Information
- Title
- "Reinforcement and systemic machine learning for decision making"
- Statement of Responsibility
- Parag Kulkarni
- Publisher
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- IEEE Press
- Wiley
- Publication Year
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- c2012
- Book size
- 24 cm
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Notes
"Systems, Man, & Cybernetics Society"
Includes bibliographical references and index
Summary: "Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the area of computational intelligence. This book focuses on reinforcement and systemic learning to build a new learning paradigm, which makes effective use of these learning methodologies to increase machine intelligence and help us in building the advance machine learning applications. Illuminating case studies reflecting the authors' industrial experiences and pragmatic downloadable tutorials are available for researchers and professionals" -- Provided by publisher
Summary: "The book focuses on machine learning and systemic machine learning -- a specialized research area in the field of machine learning" -- Provided by publisher
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Details 詳細情報について
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- CRID
- 1130000796767340032
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- NII Book ID
- BB11467443
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- ISBN
- 9780470919996
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- LCCN
- 2011043300
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- Web Site
- https://lccn.loc.gov/2011043300
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- Text Lang
- en
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- Country Code
- us
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- Title Language Code
- en
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- Place of Publication
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- Piscataway, N.J.
- Hoboken, N.J.
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- Subject
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- LCSH: Reinforcement learning
- LCSH: Machine learning
- LCSH: Decision Making
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- Data Source
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- CiNii Books