Reinforcement and Systemic Machine Learning for Decision Making
Parag Kulkarni
ISBN 10: 047091999X ISBN 13: 9780470919996
Edité par John Wiley and Sons Ltd, 2012
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A propos de cet article
Description :
* Authors have both industrial and academic experiences * Case studies are included reflecting author's industrial experiences * Downloadable tutorials are available . Series: IEEE Press Series on Systems Science and Engineering. Num Pages: 312 pages, Illustrations. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 242 x 164 x 22. Weight in Grams: 582. . 2012. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470919996
Synopsis :
"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"--
À propos de l?auteur: Parag Kulkarni, PhD, DSc, is the founder and Chief Scientist of EKLat Research where he has empowered businesses through machine learning, knowledge management, and systemic management. He has been working within the IT industry for over twenty years. The recipient of several awards, Dr. Kulkarni is a pioneer in the field. His areas of research and product development include M-maps, intelligent systems, text mining, image processing, decision systems, forecasting, IT strategy, artificial intelligence, and machine learning. Dr. Kulkarni has over 100 research publications including several books.
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Détails bibliographiques
Titre : Reinforcement and Systemic Machine Learning ...
Éditeur : John Wiley and Sons Ltd
Date d'édition : 2012
Reliure : Couverture rigide
Etat : New
Edition : Edition originale
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Reinforcement and Systemic Machine Learning for Decision Making (Hardcover)
Edité par
John Wiley & Sons Inc, New York, 2012
ISBN 10 : 047091999X
ISBN 13 : 9780470919996
Neuf
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Edition originale
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Hardcover. Etat : new. Hardcover. Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always availableor 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 paradigmcreating 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 LearningFundamentals of Whole-System, Systemic, and Multiperspective Machine LearningSystemic Machine Learning and ModelInference and Information IntegrationAdaptive LearningIncremental Learning and Knowledge RepresentationKnowledge Augmentation: A Machine Learning PerspectiveBuilding 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. * Authors have both industrial and academic experiences * Case studies are included reflecting author's industrial experiences * Downloadable tutorials are available . Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780470919996
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Reinforcement and Systemic Machine Learning for Decision Making (Hardcover)
Edité par
John Wiley & Sons Inc, New York, 2012
ISBN 10 : 047091999X
ISBN 13 : 9780470919996
Neuf
Couverture rigide
Edition originale
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Hardcover. Etat : new. Hardcover. Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always availableor 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 paradigmcreating 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 LearningFundamentals of Whole-System, Systemic, and Multiperspective Machine LearningSystemic Machine Learning and ModelInference and Information IntegrationAdaptive LearningIncremental Learning and Knowledge RepresentationKnowledge Augmentation: A Machine Learning PerspectiveBuilding 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. * Authors have both industrial and academic experiences * Case studies are included reflecting author's industrial experiences * Downloadable tutorials are available . Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780470919996
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Reinforcement and Systemic Machine Learning for Decision Making (Hardcover)
Edité par
John Wiley & Sons Inc, New York, 2012
ISBN 10 : 047091999X
ISBN 13 : 9780470919996
Neuf
Couverture rigide
Edition originale
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Hardcover. Etat : new. Hardcover. Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always availableor 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 paradigmcreating 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 LearningFundamentals of Whole-System, Systemic, and Multiperspective Machine LearningSystemic Machine Learning and ModelInference and Information IntegrationAdaptive LearningIncremental Learning and Knowledge RepresentationKnowledge Augmentation: A Machine Learning PerspectiveBuilding 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. * Authors have both industrial and academic experiences * Case studies are included reflecting author's industrial experiences * Downloadable tutorials are available . Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780470919996
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