Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology) - Tapa blanda

Sayed-Mouchaweh, Moamar

9783319256658: Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology)

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ISBN 10: 3319256653 ISBN 13: 9783319256658

Editorial: Springer, 2015

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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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Moamar Sayed-Mouchaweh is a Professor at High National Engineering School of Mines “Ecole Nationale Sup�rieure des Mines de Douai”, Computer Science and Automatic Labs, Douai-France

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Editorial: Springer
A�o de publicaci�n: 2015
Idioma: Ingl�s
ISBN 10: 3319256653
ISBN 13: 9783319256658
Encuadernaci�n: Tapa blanda
N�mero de edici�n: 1
N�mero de p�ginas: 84
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Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology)

Sayed-Mouchaweh, Moamar

Publicado por Springer, 2015

ISBN 10: 3319256653 ISBN 13: 9783319256658

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Librería: Ria Christie Collections, Uxbridge, Reino Unido

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Condici�n: New. In. N� de ref. del art�culo: ria9783319256658_new

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Learning from Data Streams in Dynamic Environments

Moamar Sayed-Mouchaweh

Publicado por Springer International Publishing Dez 2015, 2015

ISBN 10: 3319256653 ISBN 13: 9783319256658

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch. N� de ref. del art�culo: 9783319256658

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Learning from Data Streams in Dynamic Environments

Moamar Sayed-Mouchaweh

Publicado por Springer International Publishing, 2015

ISBN 10: 3319256653 ISBN 13: 9783319256658

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9783319256658

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Learning in Evolving and Non-Stationary Environments

Moamar Sayed-Mouchaweh

Publicado por Springer International Publishing, 2015

ISBN 10: 3319256653 ISBN 13: 9783319256658

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Librería: moluna, Greven, Alemania

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines the problem of learning in non-stationary environments, its interests, its applications and challengesCompares methods and techniques in order to show their complementarities and to define some new research directions in the area of learn. N� de ref. del art�culo: 74363167

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