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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Fusion of Machine Learning Paradigms - Theory and Applications (Hardcover, 1st ed. 2023) Loot Price: R3,728
Discovery Miles 37 280
Fusion of Machine Learning Paradigms - Theory and Applications (Hardcover, 1st ed. 2023): Ioannis K. Hatzilygeroudis, George...

Fusion of Machine Learning Paradigms - Theory and Applications (Hardcover, 1st ed. 2023)

Ioannis K. Hatzilygeroudis, George Tsihrintzis, Lakhmi C. Jain

Series: Intelligent Systems Reference Library, 236

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Loot Price R3,728 Discovery Miles 37 280 | Repayment Terms: R349 pm x 12*

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This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Intelligent Systems Reference Library, 236
Release date: February 2023
First published: 2023
Editors: Ioannis K. Hatzilygeroudis • George Tsihrintzis • Lakhmi C. Jain
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 176
Edition: 1st ed. 2023
ISBN-13: 978-3-03-122370-9
Categories: Books > Computing & IT > Computer communications & networking > Network security
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-122370-5
Barcode: 9783031223709

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