Reinforcement and systemic machine learning for decision making Parag Kulkarni.
Material type:
TextSeries: IEEE Press series on systems science and engineering ; 1Publication details: Hoboken, NJ : John Wiley and Sons, 2012Description: xxi, 285 p. : ill. ; 23 cmISBN: - 9780470919996
- 006.31 KUL/Rei 23
- Q325.6 .K85 2012
- TEC008000
| Item type | Current library | Call number | Status | Date due | Barcode | |
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Goa University Library MCA Book Bank | 006.31 KUL/Rei (Browse shelf(Opens below)) | Available | 142871 |
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| 006.31 FLA/Mac Machine learning :the art and science of algorithms that make sense of data | 006.31 GOO/Dee Deep Learning | 006.31 HE/Self Self-adaptive systems for machine intelligence | 006.31 KUL/Rei Reinforcement and systemic machine learning for decision making | 006.31 MA-GUO Support vector machines applications | 006.31 MAU/Mul Multiobjective genetic algorithms for clustering : | 006.31 ROG-GIR A first course in machine learning |
"Systems, Man, & Cybernetics Society."
Includes bibliographical references and index.
"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"--
"The book focuses on machine learning and systemic machine learning -- a specialized research area in the field of machine learning"--
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