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Can I read Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology) on EtoBox?
Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology) by Moamar Sayed-Mouchaweh is a nonfiction available to read on EtoBox.
What is Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology) about?
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. Erscheinungsdatum: 16.12.2015
Who reads Learning from Data Streams in Dynamic Environments (SpringerBriefs in Applied Sciences and Technology)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Moamar Sayed-Mouchaweh
- Publisher
- Springer International Publishing
- Published
- 2016
- Language
- EN
- ISBN
- 9783319256672
- Category
- nonfiction
- Subjects
- Engineering, Computer Science, Science
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