Overview
- Examines the problem of learning in non-stationary environments, its interests, its applications and challenges
- Compares methods and techniques in order to show their complementarities and to define some new research directions in the area of learning in non-stationary environments
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Learning from Data Streams in Dynamic Environments
Authors: Moamar Sayed-Mouchaweh
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-25667-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author 2016
Softcover ISBN: 978-3-319-25665-8Published: 16 December 2015
eBook ISBN: 978-3-319-25667-2Published: 10 December 2015
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: VIII, 75
Number of Illustrations: 1 b/w illustrations, 43 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Communications Engineering, Networks