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Learning from Data Streams in Dynamic Environments
Moamar Sayed-Mouchaweh
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Description for Learning from Data Streams in Dynamic Environments
Paperback. Series: SpringerBriefs in Applied Sciences and Technology. Num Pages: 83 pages, 1 black & white illustrations, 43 colour illustrations, 5 black & white tables, 2 colour t. BIC Classification: TJK; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 4. Weight in Grams: 145.
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.
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.
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
83
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology
Number of Pages
75
Place of Publication
Cham, Switzerland
ISBN
9783319256658
SKU
V9783319256658
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Moamar Sayed-Mouchaweh
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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