Principles of Electrical Safety Telecommunications System Reliability Engineering... Lens Antennas for Communications $130.00Sale $104.00 - $114.46 Predictive Control of Power Converters and Electr... 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.
"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 learningparadigm, 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 pragmaticdownloadable tutorials are available for researchers and professionals"--
Provided by publisher.
"The book focuses on machine learning and systemic machine learning -- a specialized research area in the field of machine learning"--
Reinforcement and Systemic Machine Learning for Decision Making General
| ISBN | 9780470919996 |
| Fiction/Non-Fiction | Non-Fiction |
| Publisher | IEEE |
| Pages | 350 |
| List Price | $115.00 |
| Author | Kulkarni, ParagSamanta, Bithika |
| Publication Date | 05/29/2012 |
| Release Status | Forthcoming |
| Format | Hardcover |
| Language | English |
| Series | IEEE Series on Systems Science and Engineering |
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.
"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 learningparadigm, 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 pragmaticdownloadable tutorials are available for researchers and professionals"--
Provided by publisher.
"The book focuses on machine learning and systemic machine learning -- a specialized research area in the field of machine learning"--
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