Learning from Data Streams in Dynamic Environments

Nonfiction, Science & Nature, Technology, Telecommunications, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Learning from Data Streams in Dynamic Environments by Moamar Sayed-Mouchaweh, Springer International Publishing
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Author: Moamar Sayed-Mouchaweh ISBN: 9783319256672
Publisher: Springer International Publishing Publication: December 10, 2015
Imprint: Springer Language: English
Author: Moamar Sayed-Mouchaweh
ISBN: 9783319256672
Publisher: Springer International Publishing
Publication: December 10, 2015
Imprint: Springer
Language: English

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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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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