Learning from Data Streams in Dynamic Environments / SpringerBriefs in Applied Sciences and Technology (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Moamar Sayed-Mouchaweh
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
Bibliographische Angaben
- Autor: Moamar Sayed-Mouchaweh
- 2015, 1st ed. 2016, 75 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 331925667X
- ISBN-13: 9783319256672
- Erscheinungsdatum: 10.12.2015
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 3.38 MB
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Sprache:
Englisch
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