| Learning from Data Streams in Dynamic Environments 2016 Edition Contributor(s): Sayed-Mouchaweh, Moamar (Author) |
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ISBN: 3319256653 ISBN-13: 9783319256658 Publisher: Springer
Binding Type: Paperback Published: December 2015 Click for more in this series: Springerbriefs in Applied Sciences and Technology |
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| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Telecommunications - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| Series: Springerbriefs in Applied Sciences and Technology |
| Physical Information: 0.17" H x 6.14" W x 9.21" L (0.29 lbs) 75 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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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