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Titlebook: Learning from Data Streams in Dynamic Environments; Moamar Sayed-Mouchaweh Book 2016 The Author 2016 Adaptive Modeling.Data Streams.Drift

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樓主
發(fā)表于 2025-3-21 16:14:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Learning from Data Streams in Dynamic Environments
編輯Moamar Sayed-Mouchaweh
視頻videohttp://file.papertrans.cn/583/582933/582933.mp4
概述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 s
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Learning from Data Streams in Dynamic Environments;  Moamar Sayed-Mouchaweh Book 2016 The Author 2016 Adaptive Modeling.Data Streams.Drift
描述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.
出版日期Book 2016
關鍵詞Adaptive Modeling; Data Streams; Drift Monitoring and Handling; Evolving Systems; Incremental Learning; N
版次1
doihttps://doi.org/10.1007/978-3-319-25667-2
isbn_softcover978-3-319-25665-8
isbn_ebook978-3-319-25667-2Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author 2016
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:23:52 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:43:30 | 只看該作者
2191-530X 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.978-3-319-25665-8978-3-319-25667-2Series ISSN 2191-530X Series E-ISSN 2191-5318
地板
發(fā)表于 2025-3-22 07:08:11 | 只看該作者
Book 2016nments. 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, i
5#
發(fā)表于 2025-3-22 10:22:24 | 只看該作者
Book 2016 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.
6#
發(fā)表于 2025-3-22 15:30:42 | 只看該作者
7#
發(fā)表于 2025-3-22 19:51:59 | 只看該作者
2191-530X ues in order to show their complementarities and to define sThis 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
8#
發(fā)表于 2025-3-22 22:07:02 | 只看該作者
Learning in Dynamic Environments,eristics of the concept drift are presented. Finally, the real-world applications generating drifting data streams are discussed. The goal is to give a picture of the problem of learning from data streams in dynamic environments, its causes, sources, and characteristics in order to discuss later alternatives to solve this problem.
9#
發(fā)表于 2025-3-23 03:03:47 | 只看該作者
Moamar Sayed-MouchawehExamines 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 s
10#
發(fā)表于 2025-3-23 06:00:21 | 只看該作者
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/l/image/582933.jpg
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