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Moamar Sayed-Mouchaweh 
Learning from Data Streams in Dynamic Environments [PDF ebook] 

Soporte

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.

€53.49
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Tabla de materias

Introduction to learning.- Learning in dynamic environment.- Handling concept drift.- Summary and final comments.

Sobre el autor

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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Idioma Inglés ● Formato PDF ● Páginas 75 ● ISBN 9783319256672 ● Tamaño de archivo 3.5 MB ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2015 ● Descargable 24 meses ● Divisa EUR ● ID 4798419 ● Protección de copia DRM social

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