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Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology) - Softcover
Synopsis
This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.
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About the Author
Moamar Sayed-Mouchaweh is a Professor at High National Engineering School of Mines “Ecole Nationale Supérieure des Mines de Douai”, Computer Science and Automatic Labs, Douai-France
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Learning in Evolving and Non-stationary Environments
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Learning in Evolving and Non-stationary Environments
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Learning from Data Streams in Dynamic Environments
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Springer International Publishing Dez 2015, 2015
ISBN 10: 3319256653
ISBN 13: 9783319256658
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments. 84 pp. Englisch. Seller Inventory # 9783319256658
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Learning in Evolving and Non-Stationary Environments (SpringerBriefs in Applied Sciences and Technology)
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