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Learning from data streams in dynami...

Sayed-Mouchaweh, Moamar.

Learning from data streams in dynamic environments

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Learning from data streams in dynamic environments/ by Moamar Sayed-Mouchaweh.
作者:	Sayed-Mouchaweh, Moamar.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	viii, 75 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Machine learning. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-25667-2
ISBN:	9783319256672

Learning from data streams in dynamic environments
Sayed-Mouchaweh, Moamar.

Learning from data streams in dynamic environments[electronic resource] /by Moamar Sayed-Mouchaweh. - Cham :Springer International Publishing :2016. - viii, 75 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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

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.

ISBN: 9783319256672

Standard No.: 10.1007/978-3-319-25667-2doiSubjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Learning from data streams in dynamic environments
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520 $a 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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