Reinforcement and Systemic Machine Learning for Decision Making Hardback
Part of the IEEE Press Series on Systems Science and Engineering series
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.
- Format: Hardback
- Pages: 312 pages
- Publisher: John Wiley & Sons Inc
- Publication Date: 30/07/2012
- Category: Machine learning
- ISBN: 9780470919996